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You searched for subject:(Sensor optimization). Showing records 1 – 30 of 209 total matches.

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1. Fang, Maopeng. Structural Response Evaluation Using Non-Uniform Sensor Arrays.

Degree: 2013, Texas Digital Library

Sensor arrays strategically deployed on various offshore structures may provide valuable information in addressing issues related to the complex dynamic response behavior due to varying… (more)

Subjects/Keywords: Sensor optimization

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APA (6th Edition):

Fang, M. (2013). Structural Response Evaluation Using Non-Uniform Sensor Arrays. (Thesis). Texas Digital Library. Retrieved from http://hdl.handle.net/1969; http://hdl.handle.net/2249.1/66606

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Fang, Maopeng. “Structural Response Evaluation Using Non-Uniform Sensor Arrays.” 2013. Thesis, Texas Digital Library. Accessed January 23, 2020. http://hdl.handle.net/1969; http://hdl.handle.net/2249.1/66606.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Fang, Maopeng. “Structural Response Evaluation Using Non-Uniform Sensor Arrays.” 2013. Web. 23 Jan 2020.

Vancouver:

Fang M. Structural Response Evaluation Using Non-Uniform Sensor Arrays. [Internet] [Thesis]. Texas Digital Library; 2013. [cited 2020 Jan 23]. Available from: http://hdl.handle.net/1969; http://hdl.handle.net/2249.1/66606.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Fang M. Structural Response Evaluation Using Non-Uniform Sensor Arrays. [Thesis]. Texas Digital Library; 2013. Available from: http://hdl.handle.net/1969; http://hdl.handle.net/2249.1/66606

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Anna University

2. Maheswar R. Performance analysis of an energy optimization scheme for cluster based heterogeneous sensor networks;.

Degree: energy optimization scheme for cluster based heterogeneous sensor networks, 2014, Anna University

A Wireless Sensor Network WSN consists of a large number of newlinesensor nodes deployed over a geographical area for monitoring physical newlinephenomena like temperature humidity… (more)

Subjects/Keywords: electrical engineering; energy optimization; heterogeneous sensor

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APA (6th Edition):

R, M. (2014). Performance analysis of an energy optimization scheme for cluster based heterogeneous sensor networks;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/24038

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

R, Maheswar. “Performance analysis of an energy optimization scheme for cluster based heterogeneous sensor networks;.” 2014. Thesis, Anna University. Accessed January 23, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/24038.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

R, Maheswar. “Performance analysis of an energy optimization scheme for cluster based heterogeneous sensor networks;.” 2014. Web. 23 Jan 2020.

Vancouver:

R M. Performance analysis of an energy optimization scheme for cluster based heterogeneous sensor networks;. [Internet] [Thesis]. Anna University; 2014. [cited 2020 Jan 23]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/24038.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

R M. Performance analysis of an energy optimization scheme for cluster based heterogeneous sensor networks;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/24038

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Florida

3. Balasubramanian, Adhithya. Latency Optimization in Large-Scale Cloud-Sensor Systems.

Degree: MS, Computer Science - Computer and Information Science and Engineering, 2017, University of Florida

 With the advent of the Internet of Things and smart city applications, massive cyber-physical interactions between the applications hosted in the cloud and a vast… (more)

Subjects/Keywords: cloud  – energy  – latency  – optimization  – scalability  – sensor

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APA (6th Edition):

Balasubramanian, A. (2017). Latency Optimization in Large-Scale Cloud-Sensor Systems. (Masters Thesis). University of Florida. Retrieved from http://ufdc.ufl.edu/UFE0051901

Chicago Manual of Style (16th Edition):

Balasubramanian, Adhithya. “Latency Optimization in Large-Scale Cloud-Sensor Systems.” 2017. Masters Thesis, University of Florida. Accessed January 23, 2020. http://ufdc.ufl.edu/UFE0051901.

MLA Handbook (7th Edition):

Balasubramanian, Adhithya. “Latency Optimization in Large-Scale Cloud-Sensor Systems.” 2017. Web. 23 Jan 2020.

Vancouver:

Balasubramanian A. Latency Optimization in Large-Scale Cloud-Sensor Systems. [Internet] [Masters thesis]. University of Florida; 2017. [cited 2020 Jan 23]. Available from: http://ufdc.ufl.edu/UFE0051901.

Council of Science Editors:

Balasubramanian A. Latency Optimization in Large-Scale Cloud-Sensor Systems. [Masters Thesis]. University of Florida; 2017. Available from: http://ufdc.ufl.edu/UFE0051901


McMaster University

4. Wang, Yinghui. Path Planning and Sensor Management for Multisensor Airborne Surveillance.

Degree: PhD, 2018, McMaster University

As a result of recent technological advances in modernized sensor sets and sensor platforms, sensor management combined with sensor platform path planning are studied to… (more)

Subjects/Keywords: Radar tracking; Sensor management; Path planning; Optimization

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APA (6th Edition):

Wang, Y. (2018). Path Planning and Sensor Management for Multisensor Airborne Surveillance. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/23704

Chicago Manual of Style (16th Edition):

Wang, Yinghui. “Path Planning and Sensor Management for Multisensor Airborne Surveillance.” 2018. Doctoral Dissertation, McMaster University. Accessed January 23, 2020. http://hdl.handle.net/11375/23704.

MLA Handbook (7th Edition):

Wang, Yinghui. “Path Planning and Sensor Management for Multisensor Airborne Surveillance.” 2018. Web. 23 Jan 2020.

Vancouver:

Wang Y. Path Planning and Sensor Management for Multisensor Airborne Surveillance. [Internet] [Doctoral dissertation]. McMaster University; 2018. [cited 2020 Jan 23]. Available from: http://hdl.handle.net/11375/23704.

Council of Science Editors:

Wang Y. Path Planning and Sensor Management for Multisensor Airborne Surveillance. [Doctoral Dissertation]. McMaster University; 2018. Available from: http://hdl.handle.net/11375/23704


University of Toronto

5. Marr, Jordan. Unified Spatiotemporal Calibration of Egomotion Sensors and Planar Lidars in Arbitrary Environments.

Degree: 2018, University of Toronto

This thesis develops an automatic spatiotemporal calibration routine for lidars and egomotion sensors that relaxes common requirements, such as overlapping sensor fields of view, and… (more)

Subjects/Keywords: Calibration; Camera; Lidar; Optimization; Robotics; Sensor; 0771

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APA (6th Edition):

Marr, J. (2018). Unified Spatiotemporal Calibration of Egomotion Sensors and Planar Lidars in Arbitrary Environments. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/91670

Chicago Manual of Style (16th Edition):

Marr, Jordan. “Unified Spatiotemporal Calibration of Egomotion Sensors and Planar Lidars in Arbitrary Environments.” 2018. Masters Thesis, University of Toronto. Accessed January 23, 2020. http://hdl.handle.net/1807/91670.

MLA Handbook (7th Edition):

Marr, Jordan. “Unified Spatiotemporal Calibration of Egomotion Sensors and Planar Lidars in Arbitrary Environments.” 2018. Web. 23 Jan 2020.

Vancouver:

Marr J. Unified Spatiotemporal Calibration of Egomotion Sensors and Planar Lidars in Arbitrary Environments. [Internet] [Masters thesis]. University of Toronto; 2018. [cited 2020 Jan 23]. Available from: http://hdl.handle.net/1807/91670.

Council of Science Editors:

Marr J. Unified Spatiotemporal Calibration of Egomotion Sensors and Planar Lidars in Arbitrary Environments. [Masters Thesis]. University of Toronto; 2018. Available from: http://hdl.handle.net/1807/91670


University of Illinois – Urbana-Champaign

6. Venkatesan, Neeraj. Distributed optimization on a wireless sensor network testbed.

Degree: MS, Electrical & Computer Engr, 2015, University of Illinois – Urbana-Champaign

 The focus of this thesis is to implement various distributed optimization algorithms on a physical wireless sensor network. Distributed optimization refers to optimization of some… (more)

Subjects/Keywords: sensor; wireless sensor network (wsn); optimization; distributed; network; localization; least-squares

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APA (6th Edition):

Venkatesan, N. (2015). Distributed optimization on a wireless sensor network testbed. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/78664

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Venkatesan, Neeraj. “Distributed optimization on a wireless sensor network testbed.” 2015. Thesis, University of Illinois – Urbana-Champaign. Accessed January 23, 2020. http://hdl.handle.net/2142/78664.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Venkatesan, Neeraj. “Distributed optimization on a wireless sensor network testbed.” 2015. Web. 23 Jan 2020.

Vancouver:

Venkatesan N. Distributed optimization on a wireless sensor network testbed. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2015. [cited 2020 Jan 23]. Available from: http://hdl.handle.net/2142/78664.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Venkatesan N. Distributed optimization on a wireless sensor network testbed. [Thesis]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/78664

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Southern California

7. Ye, Wei. Models and algorithms for energy efficient wireless sensor networks.

Degree: PhD, Industrial & Systems Engineering, 2009, University of Southern California

 Wireless Sensor Networks (WSNs) is an area of active research in industry and academia. WSNs can be used in a wide array of applications such… (more)

Subjects/Keywords: wireless sensor networks; robust optimization; nonlinear optimization; operations research

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APA (6th Edition):

Ye, W. (2009). Models and algorithms for energy efficient wireless sensor networks. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/483963/rec/4151

Chicago Manual of Style (16th Edition):

Ye, Wei. “Models and algorithms for energy efficient wireless sensor networks.” 2009. Doctoral Dissertation, University of Southern California. Accessed January 23, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/483963/rec/4151.

MLA Handbook (7th Edition):

Ye, Wei. “Models and algorithms for energy efficient wireless sensor networks.” 2009. Web. 23 Jan 2020.

Vancouver:

Ye W. Models and algorithms for energy efficient wireless sensor networks. [Internet] [Doctoral dissertation]. University of Southern California; 2009. [cited 2020 Jan 23]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/483963/rec/4151.

Council of Science Editors:

Ye W. Models and algorithms for energy efficient wireless sensor networks. [Doctoral Dissertation]. University of Southern California; 2009. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/483963/rec/4151


University of Alberta

8. Vlasenko, Iuliia. Deployment Planning for Location Recognition in the Smart-Condo™: Simulation, Empirical Studies and Sensor Placement Optimization.

Degree: MS, Department of Computing Science, 2013, University of Alberta

 The Smart-Condo™ is a comprehensive platform that aims to provide a variety of services, based on information gleaned from sensors deployed in an apartment, that… (more)

Subjects/Keywords: Sensor Placement Optimization; Indoor Localization; Ambient Assisted Living; Wireless Sensor Networks; Smart Home

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APA (6th Edition):

Vlasenko, I. (2013). Deployment Planning for Location Recognition in the Smart-Condo™: Simulation, Empirical Studies and Sensor Placement Optimization. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/mw22v595s

Chicago Manual of Style (16th Edition):

Vlasenko, Iuliia. “Deployment Planning for Location Recognition in the Smart-Condo™: Simulation, Empirical Studies and Sensor Placement Optimization.” 2013. Masters Thesis, University of Alberta. Accessed January 23, 2020. https://era.library.ualberta.ca/files/mw22v595s.

MLA Handbook (7th Edition):

Vlasenko, Iuliia. “Deployment Planning for Location Recognition in the Smart-Condo™: Simulation, Empirical Studies and Sensor Placement Optimization.” 2013. Web. 23 Jan 2020.

Vancouver:

Vlasenko I. Deployment Planning for Location Recognition in the Smart-Condo™: Simulation, Empirical Studies and Sensor Placement Optimization. [Internet] [Masters thesis]. University of Alberta; 2013. [cited 2020 Jan 23]. Available from: https://era.library.ualberta.ca/files/mw22v595s.

Council of Science Editors:

Vlasenko I. Deployment Planning for Location Recognition in the Smart-Condo™: Simulation, Empirical Studies and Sensor Placement Optimization. [Masters Thesis]. University of Alberta; 2013. Available from: https://era.library.ualberta.ca/files/mw22v595s


University of Western Ontario

9. Shao, Lingmin. Automotive Inductive Position Sensor.

Degree: 2017, University of Western Ontario

 Inductive angular position sensors (IAPS) are widely used for high accuracy and low cost angular position sensing in harsh automotive environments, such as suspension height… (more)

Subjects/Keywords: electromagnetic coupling; SIMULINK modeling; Response surface method optimization; miniaturized inductive sensor; steering torque sensor; passive inductive sensor; Automotive Engineering

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APA (6th Edition):

Shao, L. (2017). Automotive Inductive Position Sensor. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/4569

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Shao, Lingmin. “Automotive Inductive Position Sensor.” 2017. Thesis, University of Western Ontario. Accessed January 23, 2020. https://ir.lib.uwo.ca/etd/4569.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Shao, Lingmin. “Automotive Inductive Position Sensor.” 2017. Web. 23 Jan 2020.

Vancouver:

Shao L. Automotive Inductive Position Sensor. [Internet] [Thesis]. University of Western Ontario; 2017. [cited 2020 Jan 23]. Available from: https://ir.lib.uwo.ca/etd/4569.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Shao L. Automotive Inductive Position Sensor. [Thesis]. University of Western Ontario; 2017. Available from: https://ir.lib.uwo.ca/etd/4569

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Georgia Tech

10. Mahdavifar, Alireza. Computational and experimental development of ultra-low power and sensitive micro-electro-thermal gas sensor.

Degree: PhD, Mechanical Engineering, 2015, Georgia Tech

 In this research a state-of-the-art micro-thermal conductivity detector is developed based on MEMS technology. Its efficient design include a miniaturized 100×2 µm bridge from doped… (more)

Subjects/Keywords: MEMS; MicroTCD; Gas sensor; Heat transfer simulation; Instrumentation; Sensor optimization; Doped polysilicon microbridge; Micro heater; Electro-thermal sensor

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APA (6th Edition):

Mahdavifar, A. (2015). Computational and experimental development of ultra-low power and sensitive micro-electro-thermal gas sensor. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54923

Chicago Manual of Style (16th Edition):

Mahdavifar, Alireza. “Computational and experimental development of ultra-low power and sensitive micro-electro-thermal gas sensor.” 2015. Doctoral Dissertation, Georgia Tech. Accessed January 23, 2020. http://hdl.handle.net/1853/54923.

MLA Handbook (7th Edition):

Mahdavifar, Alireza. “Computational and experimental development of ultra-low power and sensitive micro-electro-thermal gas sensor.” 2015. Web. 23 Jan 2020.

Vancouver:

Mahdavifar A. Computational and experimental development of ultra-low power and sensitive micro-electro-thermal gas sensor. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2020 Jan 23]. Available from: http://hdl.handle.net/1853/54923.

Council of Science Editors:

Mahdavifar A. Computational and experimental development of ultra-low power and sensitive micro-electro-thermal gas sensor. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/54923


Queens University

11. Akbari Varnousfaderani, Mohammad Jr. Distributed Online Optimization on time-varying networks .

Degree: Mathematics and Statistics, 2015, Queens University

 This thesis introduces two classes of discrete-time distributed online optimization algorithms, with a group of agents which communicate over a network. At each time, a… (more)

Subjects/Keywords: Multi-agent Systems; Sensor Networks; Distributed Optimization; Subgradient Algorithm; Method of Multipliers; Online Optimization

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APA (6th Edition):

Akbari Varnousfaderani, M. J. (2015). Distributed Online Optimization on time-varying networks . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/13551

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Akbari Varnousfaderani, Mohammad Jr. “Distributed Online Optimization on time-varying networks .” 2015. Thesis, Queens University. Accessed January 23, 2020. http://hdl.handle.net/1974/13551.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Akbari Varnousfaderani, Mohammad Jr. “Distributed Online Optimization on time-varying networks .” 2015. Web. 23 Jan 2020.

Vancouver:

Akbari Varnousfaderani MJ. Distributed Online Optimization on time-varying networks . [Internet] [Thesis]. Queens University; 2015. [cited 2020 Jan 23]. Available from: http://hdl.handle.net/1974/13551.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Akbari Varnousfaderani MJ. Distributed Online Optimization on time-varying networks . [Thesis]. Queens University; 2015. Available from: http://hdl.handle.net/1974/13551

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


De Montfort University

12. Al-Obaidi, Mohanad. ENAMS : energy optimization algorithm for mobile wireless sensor networks using evolutionary computation and swarm intelligence.

Degree: PhD, 2010, De Montfort University

 Although traditionally Wireless Sensor Network (WSNs) have been regarded as static sensor arrays used mainly for environmental monitoring, recently, its applications have undergone a paradigm… (more)

Subjects/Keywords: 600; genetic algorithms; clustering; evolutionary computation; sensor networks; swarm intelligence; energy optimization; particle swarm optimization

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APA (6th Edition):

Al-Obaidi, M. (2010). ENAMS : energy optimization algorithm for mobile wireless sensor networks using evolutionary computation and swarm intelligence. (Doctoral Dissertation). De Montfort University. Retrieved from http://hdl.handle.net/2086/5187

Chicago Manual of Style (16th Edition):

Al-Obaidi, Mohanad. “ENAMS : energy optimization algorithm for mobile wireless sensor networks using evolutionary computation and swarm intelligence.” 2010. Doctoral Dissertation, De Montfort University. Accessed January 23, 2020. http://hdl.handle.net/2086/5187.

MLA Handbook (7th Edition):

Al-Obaidi, Mohanad. “ENAMS : energy optimization algorithm for mobile wireless sensor networks using evolutionary computation and swarm intelligence.” 2010. Web. 23 Jan 2020.

Vancouver:

Al-Obaidi M. ENAMS : energy optimization algorithm for mobile wireless sensor networks using evolutionary computation and swarm intelligence. [Internet] [Doctoral dissertation]. De Montfort University; 2010. [cited 2020 Jan 23]. Available from: http://hdl.handle.net/2086/5187.

Council of Science Editors:

Al-Obaidi M. ENAMS : energy optimization algorithm for mobile wireless sensor networks using evolutionary computation and swarm intelligence. [Doctoral Dissertation]. De Montfort University; 2010. Available from: http://hdl.handle.net/2086/5187


University of Alberta

13. Ammar, Khaled A. Histogram and median queries in wireless sensor networks.

Degree: MS, Department of Computing Science, 2011, University of Alberta

 Recently, Wireless Sensor Networks (WSNs) have been used in many monitoring applications, e.g., environment monitoring. A WSN consists of a set of nodes, each having… (more)

Subjects/Keywords: Histogram; Wireless Sensor Network; Distributed queries; Aggregate; Median; Optimization; Query

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APA (6th Edition):

Ammar, K. A. (2011). Histogram and median queries in wireless sensor networks. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/6w924c668

Chicago Manual of Style (16th Edition):

Ammar, Khaled A. “Histogram and median queries in wireless sensor networks.” 2011. Masters Thesis, University of Alberta. Accessed January 23, 2020. https://era.library.ualberta.ca/files/6w924c668.

MLA Handbook (7th Edition):

Ammar, Khaled A. “Histogram and median queries in wireless sensor networks.” 2011. Web. 23 Jan 2020.

Vancouver:

Ammar KA. Histogram and median queries in wireless sensor networks. [Internet] [Masters thesis]. University of Alberta; 2011. [cited 2020 Jan 23]. Available from: https://era.library.ualberta.ca/files/6w924c668.

Council of Science Editors:

Ammar KA. Histogram and median queries in wireless sensor networks. [Masters Thesis]. University of Alberta; 2011. Available from: https://era.library.ualberta.ca/files/6w924c668


Texas A&M University

14. Zhang, Fenghui. Effective algorithms and protocols for wireless networking: a topological approach.

Degree: 2008, Texas A&M University

 Much research has been done on wireless sensor networks. However, most protocols and algorithms for such networks are based on the ideal model Unit Disk… (more)

Subjects/Keywords: optimization; parameterized computation; wireless sensor networks; complexity; algorithm

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APA (6th Edition):

Zhang, F. (2008). Effective algorithms and protocols for wireless networking: a topological approach. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/86012

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhang, Fenghui. “Effective algorithms and protocols for wireless networking: a topological approach.” 2008. Thesis, Texas A&M University. Accessed January 23, 2020. http://hdl.handle.net/1969.1/86012.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhang, Fenghui. “Effective algorithms and protocols for wireless networking: a topological approach.” 2008. Web. 23 Jan 2020.

Vancouver:

Zhang F. Effective algorithms and protocols for wireless networking: a topological approach. [Internet] [Thesis]. Texas A&M University; 2008. [cited 2020 Jan 23]. Available from: http://hdl.handle.net/1969.1/86012.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhang F. Effective algorithms and protocols for wireless networking: a topological approach. [Thesis]. Texas A&M University; 2008. Available from: http://hdl.handle.net/1969.1/86012

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Anna University

15. Kavitha G. Certain improvements in data aggregation for wireless sensor network using hybrid optimization algorithm;.

Degree: Certain improvements in data aggregation for wireless sensor network using hybrid optimization algorithm, 2015, Anna University

A Wireless Sensor Network WSN is a colorful collection of nodes newlineorganized into a cooperative network Wireless sensor networks are emerging newlineapplications of pervasive computing… (more)

Subjects/Keywords: hybrid optimization algorithm; Information and communication engineering; wireless sensor network

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APA (6th Edition):

G, K. (2015). Certain improvements in data aggregation for wireless sensor network using hybrid optimization algorithm;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/49444

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

G, Kavitha. “Certain improvements in data aggregation for wireless sensor network using hybrid optimization algorithm;.” 2015. Thesis, Anna University. Accessed January 23, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/49444.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

G, Kavitha. “Certain improvements in data aggregation for wireless sensor network using hybrid optimization algorithm;.” 2015. Web. 23 Jan 2020.

Vancouver:

G K. Certain improvements in data aggregation for wireless sensor network using hybrid optimization algorithm;. [Internet] [Thesis]. Anna University; 2015. [cited 2020 Jan 23]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/49444.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

G K. Certain improvements in data aggregation for wireless sensor network using hybrid optimization algorithm;. [Thesis]. Anna University; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/49444

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Anna University

16. Karuppasamy K. Enhanced Network Coverage Optimization Techniques Using In Local View For Wireless Sensor Networks;.

Degree: communication engineering, 2013, Anna University

A wireless sensor network is composed of a group of small powerconstrained newlinenodes with functions of sensing and communication which can newlinebe scattered over a… (more)

Subjects/Keywords: Local View; Network Coverage; Optimization Techniques; Wireless Sensor Networks

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

K, K. (2013). Enhanced Network Coverage Optimization Techniques Using In Local View For Wireless Sensor Networks;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/24150

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

K, Karuppasamy. “Enhanced Network Coverage Optimization Techniques Using In Local View For Wireless Sensor Networks;.” 2013. Thesis, Anna University. Accessed January 23, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/24150.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

K, Karuppasamy. “Enhanced Network Coverage Optimization Techniques Using In Local View For Wireless Sensor Networks;.” 2013. Web. 23 Jan 2020.

Vancouver:

K K. Enhanced Network Coverage Optimization Techniques Using In Local View For Wireless Sensor Networks;. [Internet] [Thesis]. Anna University; 2013. [cited 2020 Jan 23]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/24150.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

K K. Enhanced Network Coverage Optimization Techniques Using In Local View For Wireless Sensor Networks;. [Thesis]. Anna University; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/24150

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Minnesota

17. Razavi Majomard, Seid Alireza. Distributed optimization in an energy-constrained network.

Degree: Electrical Engineering, 2010, University of Minnesota

 We consider a distributed optimization problem whereby a network of N nodes, Sℓ, ℓ ∈ {1, . . . ,N}, wish to minimize a common… (more)

Subjects/Keywords: Convergence; Distibuted optimization,; Energy efficiency; Resource allocation; Sensor networks; Electrical Engineering

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APA (6th Edition):

Razavi Majomard, S. A. (2010). Distributed optimization in an energy-constrained network. (Thesis). University of Minnesota. Retrieved from http://purl.umn.edu/59615

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Razavi Majomard, Seid Alireza. “Distributed optimization in an energy-constrained network.” 2010. Thesis, University of Minnesota. Accessed January 23, 2020. http://purl.umn.edu/59615.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Razavi Majomard, Seid Alireza. “Distributed optimization in an energy-constrained network.” 2010. Web. 23 Jan 2020.

Vancouver:

Razavi Majomard SA. Distributed optimization in an energy-constrained network. [Internet] [Thesis]. University of Minnesota; 2010. [cited 2020 Jan 23]. Available from: http://purl.umn.edu/59615.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Razavi Majomard SA. Distributed optimization in an energy-constrained network. [Thesis]. University of Minnesota; 2010. Available from: http://purl.umn.edu/59615

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Missouri – Columbia

18. Qi, Qi. Statistical model-based methods for observation selection in wireless sensor networks and for feature selection in classification.

Degree: 2012, University of Missouri – Columbia

 We apply statistical model-based approaches to address temporal and spatial observation selection challenges in wireless sensor networks. For temporal observation selection, we present an improved… (more)

Subjects/Keywords: statistical models; feature selection; wireless sensor network; network optimization; observation selection

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APA (6th Edition):

Qi, Q. (2012). Statistical model-based methods for observation selection in wireless sensor networks and for feature selection in classification. (Thesis). University of Missouri – Columbia. Retrieved from http://hdl.handle.net/10355/15111

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Qi, Qi. “Statistical model-based methods for observation selection in wireless sensor networks and for feature selection in classification.” 2012. Thesis, University of Missouri – Columbia. Accessed January 23, 2020. http://hdl.handle.net/10355/15111.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Qi, Qi. “Statistical model-based methods for observation selection in wireless sensor networks and for feature selection in classification.” 2012. Web. 23 Jan 2020.

Vancouver:

Qi Q. Statistical model-based methods for observation selection in wireless sensor networks and for feature selection in classification. [Internet] [Thesis]. University of Missouri – Columbia; 2012. [cited 2020 Jan 23]. Available from: http://hdl.handle.net/10355/15111.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Qi Q. Statistical model-based methods for observation selection in wireless sensor networks and for feature selection in classification. [Thesis]. University of Missouri – Columbia; 2012. Available from: http://hdl.handle.net/10355/15111

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


North Carolina State University

19. Chiang, Mu-Huan. Energy Optimization in Sensor Networks.

Degree: PhD, Computer Engineering, 2007, North Carolina State University

 Recent advances in wireless communications and computing technology are enabling the emergence of low-cost devices that incorporate sensing, processing, and communication functionalities. A large number… (more)

Subjects/Keywords: sensor networks; energy optimization

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APA (6th Edition):

Chiang, M. (2007). Energy Optimization in Sensor Networks. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/4858

Chicago Manual of Style (16th Edition):

Chiang, Mu-Huan. “Energy Optimization in Sensor Networks.” 2007. Doctoral Dissertation, North Carolina State University. Accessed January 23, 2020. http://www.lib.ncsu.edu/resolver/1840.16/4858.

MLA Handbook (7th Edition):

Chiang, Mu-Huan. “Energy Optimization in Sensor Networks.” 2007. Web. 23 Jan 2020.

Vancouver:

Chiang M. Energy Optimization in Sensor Networks. [Internet] [Doctoral dissertation]. North Carolina State University; 2007. [cited 2020 Jan 23]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4858.

Council of Science Editors:

Chiang M. Energy Optimization in Sensor Networks. [Doctoral Dissertation]. North Carolina State University; 2007. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4858


University of Southern California

20. Thatte, Gautam. Applications of estimation and detection theory in decentralized networks.

Degree: PhD, Electrical Engineering, 2010, University of Southern California

 We explore three applications of decentralized networks in increasingly complex detection frameworks: unconstrained binary detection in computer networks, constrained binary detection in wireless sensor networks… (more)

Subjects/Keywords: optimization; resource allocation; anomaly detection; sensor networks; wireless body-area networks

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APA (6th Edition):

Thatte, G. (2010). Applications of estimation and detection theory in decentralized networks. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/390120/rec/863

Chicago Manual of Style (16th Edition):

Thatte, Gautam. “Applications of estimation and detection theory in decentralized networks.” 2010. Doctoral Dissertation, University of Southern California. Accessed January 23, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/390120/rec/863.

MLA Handbook (7th Edition):

Thatte, Gautam. “Applications of estimation and detection theory in decentralized networks.” 2010. Web. 23 Jan 2020.

Vancouver:

Thatte G. Applications of estimation and detection theory in decentralized networks. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2020 Jan 23]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/390120/rec/863.

Council of Science Editors:

Thatte G. Applications of estimation and detection theory in decentralized networks. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/390120/rec/863


University of Southern California

21. Moeller, Scott Harrison. Dynamic routing and rate control in stochastic network optimization: from theory to practice.

Degree: PhD, Electrical Engineering, 2010, University of Southern California

 Real-world applications of wireless sensor networks are frequently faced with network capacity constraints, restricting the sensing frequency or scalability of the deployment. In the absence… (more)

Subjects/Keywords: wireless sensor networks; stochastic network optimization; systems; computer networks; backpressure; routing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Moeller, S. H. (2010). Dynamic routing and rate control in stochastic network optimization: from theory to practice. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/422505/rec/2127

Chicago Manual of Style (16th Edition):

Moeller, Scott Harrison. “Dynamic routing and rate control in stochastic network optimization: from theory to practice.” 2010. Doctoral Dissertation, University of Southern California. Accessed January 23, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/422505/rec/2127.

MLA Handbook (7th Edition):

Moeller, Scott Harrison. “Dynamic routing and rate control in stochastic network optimization: from theory to practice.” 2010. Web. 23 Jan 2020.

Vancouver:

Moeller SH. Dynamic routing and rate control in stochastic network optimization: from theory to practice. [Internet] [Doctoral dissertation]. University of Southern California; 2010. [cited 2020 Jan 23]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/422505/rec/2127.

Council of Science Editors:

Moeller SH. Dynamic routing and rate control in stochastic network optimization: from theory to practice. [Doctoral Dissertation]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/422505/rec/2127


University of Technology, Sydney

22. Rashid, Umar. Optimized resource allocation in wireless systems.

Degree: 2013, University of Technology, Sydney

 Modern wireless systems rely to a great extent on the judicious distribution of available resources (e.g. power, bandwidth) to meet an ever increasing demand of… (more)

Subjects/Keywords: Wireless sensor networks.; Multi-user communication.; Power allocation.; Convex optimization.

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APA (6th Edition):

Rashid, U. (2013). Optimized resource allocation in wireless systems. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/23491

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Rashid, Umar. “Optimized resource allocation in wireless systems.” 2013. Thesis, University of Technology, Sydney. Accessed January 23, 2020. http://hdl.handle.net/10453/23491.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Rashid, Umar. “Optimized resource allocation in wireless systems.” 2013. Web. 23 Jan 2020.

Vancouver:

Rashid U. Optimized resource allocation in wireless systems. [Internet] [Thesis]. University of Technology, Sydney; 2013. [cited 2020 Jan 23]. Available from: http://hdl.handle.net/10453/23491.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Rashid U. Optimized resource allocation in wireless systems. [Thesis]. University of Technology, Sydney; 2013. Available from: http://hdl.handle.net/10453/23491

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of California – Berkeley

23. Meliou, Alexandra. Querying Uncertain Data in Resource Constrained Settings.

Degree: Computer Science, 2009, University of California – Berkeley

Sensor networks are progressively becoming a standard in applications that require the monitoring of physical phenomena. Measurements like temperature, humidity, light, and acceleration are gathered… (more)

Subjects/Keywords: Computer Science; approximate answers; query optimization; routing; sensor networks

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APA (6th Edition):

Meliou, A. (2009). Querying Uncertain Data in Resource Constrained Settings. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/2n09t1x6

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Meliou, Alexandra. “Querying Uncertain Data in Resource Constrained Settings.” 2009. Thesis, University of California – Berkeley. Accessed January 23, 2020. http://www.escholarship.org/uc/item/2n09t1x6.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Meliou, Alexandra. “Querying Uncertain Data in Resource Constrained Settings.” 2009. Web. 23 Jan 2020.

Vancouver:

Meliou A. Querying Uncertain Data in Resource Constrained Settings. [Internet] [Thesis]. University of California – Berkeley; 2009. [cited 2020 Jan 23]. Available from: http://www.escholarship.org/uc/item/2n09t1x6.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Meliou A. Querying Uncertain Data in Resource Constrained Settings. [Thesis]. University of California – Berkeley; 2009. Available from: http://www.escholarship.org/uc/item/2n09t1x6

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


NSYSU

24. Chen, Chang-Nien. Physical-Layer Security Design for Distribution Detection In Sensor Networks with Relays.

Degree: Master, Communications Engineering, 2017, NSYSU

 Wireless sensor networks have received a lot of attention in recent years. They are widely used because of the convenience, small volume and low cost… (more)

Subjects/Keywords: optimization; Wireless sensor networks; distributed detection; secrecy; Eavesdroppers

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APA (6th Edition):

Chen, C. (2017). Physical-Layer Security Design for Distribution Detection In Sensor Networks with Relays. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0526117-092109

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Chen, Chang-Nien. “Physical-Layer Security Design for Distribution Detection In Sensor Networks with Relays.” 2017. Thesis, NSYSU. Accessed January 23, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0526117-092109.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chen, Chang-Nien. “Physical-Layer Security Design for Distribution Detection In Sensor Networks with Relays.” 2017. Web. 23 Jan 2020.

Vancouver:

Chen C. Physical-Layer Security Design for Distribution Detection In Sensor Networks with Relays. [Internet] [Thesis]. NSYSU; 2017. [cited 2020 Jan 23]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0526117-092109.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen C. Physical-Layer Security Design for Distribution Detection In Sensor Networks with Relays. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0526117-092109

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Chicago

25. Ma, Yingying. Optimal Spectrum Sensing in Cognitive Radio Networks and Utility Optimization in Wireless Sensor Networks.

Degree: 2014, University of Illinois – Chicago

 In cognitive radio networks, spectrum sensing is the most significant element to detect the spectrum occupied by the primary users. The objective of our work… (more)

Subjects/Keywords: Cognitive Radio; Wireless Sensor Network; Optimization; Spectrum Sensing

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APA (6th Edition):

Ma, Y. (2014). Optimal Spectrum Sensing in Cognitive Radio Networks and Utility Optimization in Wireless Sensor Networks. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/18889

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ma, Yingying. “Optimal Spectrum Sensing in Cognitive Radio Networks and Utility Optimization in Wireless Sensor Networks.” 2014. Thesis, University of Illinois – Chicago. Accessed January 23, 2020. http://hdl.handle.net/10027/18889.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ma, Yingying. “Optimal Spectrum Sensing in Cognitive Radio Networks and Utility Optimization in Wireless Sensor Networks.” 2014. Web. 23 Jan 2020.

Vancouver:

Ma Y. Optimal Spectrum Sensing in Cognitive Radio Networks and Utility Optimization in Wireless Sensor Networks. [Internet] [Thesis]. University of Illinois – Chicago; 2014. [cited 2020 Jan 23]. Available from: http://hdl.handle.net/10027/18889.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ma Y. Optimal Spectrum Sensing in Cognitive Radio Networks and Utility Optimization in Wireless Sensor Networks. [Thesis]. University of Illinois – Chicago; 2014. Available from: http://hdl.handle.net/10027/18889

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Chicago

26. Jiang, Wen. Information-Driven Mobility Control in Mobile Sensor Networks.

Degree: 2015, University of Illinois – Chicago

 A mobile sensor network is a powerful tool used to monitor physical phenomena and to provide services over an area of interest. This dissertation addresses… (more)

Subjects/Keywords: locational optimization; mobility control; distributed algorithm; mobile sensor networks

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APA (6th Edition):

Jiang, W. (2015). Information-Driven Mobility Control in Mobile Sensor Networks. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/19541

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Jiang, Wen. “Information-Driven Mobility Control in Mobile Sensor Networks.” 2015. Thesis, University of Illinois – Chicago. Accessed January 23, 2020. http://hdl.handle.net/10027/19541.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Jiang, Wen. “Information-Driven Mobility Control in Mobile Sensor Networks.” 2015. Web. 23 Jan 2020.

Vancouver:

Jiang W. Information-Driven Mobility Control in Mobile Sensor Networks. [Internet] [Thesis]. University of Illinois – Chicago; 2015. [cited 2020 Jan 23]. Available from: http://hdl.handle.net/10027/19541.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jiang W. Information-Driven Mobility Control in Mobile Sensor Networks. [Thesis]. University of Illinois – Chicago; 2015. Available from: http://hdl.handle.net/10027/19541

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

27. Xiang, Yun. On-chip Thermal Sensor Placement.

Degree: MS, Electrical & Computer Engineering, 2008, University of Massachusetts

 In the design of modern processors, thermal management has become one of the major challenges. Aggressive technology scaling and ever increasing demand for high performance… (more)

Subjects/Keywords: Thermal; Sensor; Algorithm; Optimization

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APA (6th Edition):

Xiang, Y. (2008). On-chip Thermal Sensor Placement. (Masters Thesis). University of Massachusetts. Retrieved from https://scholarworks.umass.edu/theses/190

Chicago Manual of Style (16th Edition):

Xiang, Yun. “On-chip Thermal Sensor Placement.” 2008. Masters Thesis, University of Massachusetts. Accessed January 23, 2020. https://scholarworks.umass.edu/theses/190.

MLA Handbook (7th Edition):

Xiang, Yun. “On-chip Thermal Sensor Placement.” 2008. Web. 23 Jan 2020.

Vancouver:

Xiang Y. On-chip Thermal Sensor Placement. [Internet] [Masters thesis]. University of Massachusetts; 2008. [cited 2020 Jan 23]. Available from: https://scholarworks.umass.edu/theses/190.

Council of Science Editors:

Xiang Y. On-chip Thermal Sensor Placement. [Masters Thesis]. University of Massachusetts; 2008. Available from: https://scholarworks.umass.edu/theses/190


Australian National University

28. O'Connor, Matthew. On the Primal-Dual Method of Multipliers and its Applications .

Degree: 2018, Australian National University

 With ever growing sources of digital data and the reductions in cost of small-scale wireless processing nodes, equipped with various sensors, microprocessors, and communication systems,… (more)

Subjects/Keywords: distributed; optimization; optimisation; signal processing; wireless sensor networks

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APA (6th Edition):

O'Connor, M. (2018). On the Primal-Dual Method of Multipliers and its Applications . (Thesis). Australian National University. Retrieved from http://hdl.handle.net/1885/182588

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

O'Connor, Matthew. “On the Primal-Dual Method of Multipliers and its Applications .” 2018. Thesis, Australian National University. Accessed January 23, 2020. http://hdl.handle.net/1885/182588.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

O'Connor, Matthew. “On the Primal-Dual Method of Multipliers and its Applications .” 2018. Web. 23 Jan 2020.

Vancouver:

O'Connor M. On the Primal-Dual Method of Multipliers and its Applications . [Internet] [Thesis]. Australian National University; 2018. [cited 2020 Jan 23]. Available from: http://hdl.handle.net/1885/182588.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

O'Connor M. On the Primal-Dual Method of Multipliers and its Applications . [Thesis]. Australian National University; 2018. Available from: http://hdl.handle.net/1885/182588

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Virginia Tech

29. Xie, Liguang. Modeling and Optimization of Rechargeable Sensor Networks.

Degree: PhD, Electrical and Computer Engineering, 2013, Virginia Tech

 Over the past fifteen years, advances in Micro-Electro-Mechanical Systems (MEMS) technology have enabled rapid development of wireless sensor networks (WSNs). A WSN consists of a… (more)

Subjects/Keywords: Wireless Sensor Networks; Wireless Energy Transfer; Energy; Networking; Modeling; Optimization

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APA (6th Edition):

Xie, L. (2013). Modeling and Optimization of Rechargeable Sensor Networks. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/52243

Chicago Manual of Style (16th Edition):

Xie, Liguang. “Modeling and Optimization of Rechargeable Sensor Networks.” 2013. Doctoral Dissertation, Virginia Tech. Accessed January 23, 2020. http://hdl.handle.net/10919/52243.

MLA Handbook (7th Edition):

Xie, Liguang. “Modeling and Optimization of Rechargeable Sensor Networks.” 2013. Web. 23 Jan 2020.

Vancouver:

Xie L. Modeling and Optimization of Rechargeable Sensor Networks. [Internet] [Doctoral dissertation]. Virginia Tech; 2013. [cited 2020 Jan 23]. Available from: http://hdl.handle.net/10919/52243.

Council of Science Editors:

Xie L. Modeling and Optimization of Rechargeable Sensor Networks. [Doctoral Dissertation]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/52243

30. Hamid, Muhammad Haris. Structural Optimization and Performance Analysis of a Wireless Sensor for Injection Molding.

Degree: MSin Mechanical Engineering (M.S.M.E.), Mechanical Engineering, 2009, U of Massachusetts : Masters

Sensor technology has played an essential role in improving the observability in manufacturing processes and providing input to enabling more effective and efficient product… (more)

Subjects/Keywords: Wireless Sensor; Injection Molding; Optimization; Finite Element Analysis; Piezoelectric; FSI Analysis

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hamid, M. H. (2009). Structural Optimization and Performance Analysis of a Wireless Sensor for Injection Molding. (Masters Thesis). U of Massachusetts : Masters. Retrieved from http://scholarworks.umass.edu/theses/281

Chicago Manual of Style (16th Edition):

Hamid, Muhammad Haris. “Structural Optimization and Performance Analysis of a Wireless Sensor for Injection Molding.” 2009. Masters Thesis, U of Massachusetts : Masters. Accessed January 23, 2020. http://scholarworks.umass.edu/theses/281.

MLA Handbook (7th Edition):

Hamid, Muhammad Haris. “Structural Optimization and Performance Analysis of a Wireless Sensor for Injection Molding.” 2009. Web. 23 Jan 2020.

Vancouver:

Hamid MH. Structural Optimization and Performance Analysis of a Wireless Sensor for Injection Molding. [Internet] [Masters thesis]. U of Massachusetts : Masters; 2009. [cited 2020 Jan 23]. Available from: http://scholarworks.umass.edu/theses/281.

Council of Science Editors:

Hamid MH. Structural Optimization and Performance Analysis of a Wireless Sensor for Injection Molding. [Masters Thesis]. U of Massachusetts : Masters; 2009. Available from: http://scholarworks.umass.edu/theses/281

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