subject:(Sensor network deployment)

Anna University

1. Sheela Sobana Rani, K. A hybrid optimization technique for Deployment and routing in wireless Sensor networks; -.

Degree: Information and Communication Engineering, 2014, Anna University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/25892

►

newlineWireless Sensor Networks WSN is one of the most important technologies newlineof this century Its design is influenced by many factors such as transmission errors… (more)

Subjects/Keywords: Sensor network deployment; Wireless Sensor Networks

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APA (6^th Edition):

Sheela Sobana Rani, K. (2014). A hybrid optimization technique for Deployment and routing in wireless Sensor networks; -. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/25892

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

Chicago Manual of Style (16^th Edition):

Sheela Sobana Rani, K. “A hybrid optimization technique for Deployment and routing in wireless Sensor networks; -.” 2014. Thesis, Anna University. Accessed April 15, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/25892.

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

MLA Handbook (7^th Edition):

Sheela Sobana Rani, K. “A hybrid optimization technique for Deployment and routing in wireless Sensor networks; -.” 2014. Web. 15 Apr 2021.

Vancouver:

Sheela Sobana Rani K. A hybrid optimization technique for Deployment and routing in wireless Sensor networks; -. [Internet] [Thesis]. Anna University; 2014. [cited 2021 Apr 15]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/25892.

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

Council of Science Editors:

Sheela Sobana Rani K. A hybrid optimization technique for Deployment and routing in wireless Sensor networks; -. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/25892

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

NSYSU

2. Hsu, Shin-En. An Efficient Deployment Heuristic to Support Temporal Coverage of Heterogeneous Objects in Rotatable and Directional (R&D) Sensor Networks.

Degree: Master, Computer Science and Engineering, 2014, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0608114-135737

► Rotatable and directional (R&D) sensors are wireless sensors that have the sector-like coverage range and rotation capability. These sensors can provide temporal coverage of objects… (more)

Subjects/Keywords: point coverage; directional sensor; sensor deployment; wireless sensor network; temporal coverage

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APA (6^th Edition):

Hsu, S. (2014). An Efficient Deployment Heuristic to Support Temporal Coverage of Heterogeneous Objects in Rotatable and Directional (R&D) Sensor Networks. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0608114-135737

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

Chicago Manual of Style (16^th Edition):

Hsu, Shin-En. “An Efficient Deployment Heuristic to Support Temporal Coverage of Heterogeneous Objects in Rotatable and Directional (R&D) Sensor Networks.” 2014. Thesis, NSYSU. Accessed April 15, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0608114-135737.

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

MLA Handbook (7^th Edition):

Hsu, Shin-En. “An Efficient Deployment Heuristic to Support Temporal Coverage of Heterogeneous Objects in Rotatable and Directional (R&D) Sensor Networks.” 2014. Web. 15 Apr 2021.

Vancouver:

Hsu S. An Efficient Deployment Heuristic to Support Temporal Coverage of Heterogeneous Objects in Rotatable and Directional (R&D) Sensor Networks. [Internet] [Thesis]. NSYSU; 2014. [cited 2021 Apr 15]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0608114-135737.

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

Council of Science Editors:

Hsu S. An Efficient Deployment Heuristic to Support Temporal Coverage of Heterogeneous Objects in Rotatable and Directional (R&D) Sensor Networks. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0608114-135737

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

Queensland University of Technology

3. Taylor, James E. Lidar heat map based channel sounding for complex wireless environments.

Degree: 2016, Queensland University of Technology

URL: http://eprints.qut.edu.au/93809/

► This thesis is a development of a methodology to predict the radio transmitter signal attenuation, via vertical density profiling of digitised objects, through the use… (more)

Subjects/Keywords: LiDaR; Wireless sensor network; WSN; Network deployment methods; RSSI; Static network deployment; Remote sensing, Heat map; RF signal loss

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APA (6^th Edition):

Taylor, J. E. (2016). Lidar heat map based channel sounding for complex wireless environments. (Thesis). Queensland University of Technology. Retrieved from http://eprints.qut.edu.au/93809/

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

Chicago Manual of Style (16^th Edition):

Taylor, James E. “Lidar heat map based channel sounding for complex wireless environments.” 2016. Thesis, Queensland University of Technology. Accessed April 15, 2021. http://eprints.qut.edu.au/93809/.

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

MLA Handbook (7^th Edition):

Taylor, James E. “Lidar heat map based channel sounding for complex wireless environments.” 2016. Web. 15 Apr 2021.

Vancouver:

Taylor JE. Lidar heat map based channel sounding for complex wireless environments. [Internet] [Thesis]. Queensland University of Technology; 2016. [cited 2021 Apr 15]. Available from: http://eprints.qut.edu.au/93809/.

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

Council of Science Editors:

Taylor JE. Lidar heat map based channel sounding for complex wireless environments. [Thesis]. Queensland University of Technology; 2016. Available from: http://eprints.qut.edu.au/93809/

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

Texas A&M University

4. Lee, Jaeyong. Deployment and coverage maintenance in mobile sensor networks.

Degree: PhD, Mechanical Engineering, 2009, Texas A&M University

URL: http://hdl.handle.net/1969.1/ETD-TAMU-1564

► Deployment of mobile nodes in a region of interest is a critical issue in building a mobile sensor network because it affects cost and detection… (more)

▼ Deployment of mobile nodes in a region of interest is a critical issue in building a mobile sensor network because it affects cost and detection capabilities of the system. The deployment of mobile sensors in essence is the movement of sensors from an initial position to a final optimal location. Considerable attention has recently been given to this deployment issue. Many of the distributed deployment schemes use the potential field method. In most cases, the negative gradient of the potential function becomes the feedback control input to a node. This assumes that the potential function is differentiable over the entire region. This assumption is valid primarily when the topology of the network is fixed. In this research, we analyze the stability of a network that uses piecewise smooth potential functions. A gravitation-like force is proposed to deploy a group of agents and to form a certain configuration. We use a nonsmooth version of the Lyapunov stability theory and LaSalle’s invariance principle to show asymptotic stability of the network which is governed by discontinuous dynamics. We propose a hierarchical structure using potential fields for mobile sensor network deployment. A group of mobile nodes first form a cluster using a potential field method and then cluster heads are used to establish a hexagonal structure that employs a higher level potential field. We consider specifically the problem of deploying a mobile sensor network so that a certain area coverage is realized and maintained. And we propose an algorithm for main taining the desired coverage that assumes the availability of a stochastic sensor model. The model reflects the decline of the sensor accuracy as the distance increases from the sensor. It is further assumed that each node’s sensor has a different sensing range to represent sensor performance deterioration due to power decay. The network deployment scheme combines artificial forces with individual sensor ranges. The validity and the effectiveness of the proposed algorithm are compared to the conventional methods in simulations. Simulation results confirm the effectiveness of the proposed algorithms with respect to a defined performance metric. Advisors/Committee Members: Jayasuriya, Suhada (advisor), Kim, Won-jong (committee member), Parlos, Alexander (committee member), Welch, Jennifer L. (committee member).

Subjects/Keywords: mobile sensor network; coverage; deployment

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APA (6^th Edition):

Lee, J. (2009). Deployment and coverage maintenance in mobile sensor networks. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1564

Chicago Manual of Style (16^th Edition):

Lee, Jaeyong. “Deployment and coverage maintenance in mobile sensor networks.” 2009. Doctoral Dissertation, Texas A&M University. Accessed April 15, 2021. http://hdl.handle.net/1969.1/ETD-TAMU-1564.

MLA Handbook (7^th Edition):

Lee, Jaeyong. “Deployment and coverage maintenance in mobile sensor networks.” 2009. Web. 15 Apr 2021.

Vancouver:

Lee J. Deployment and coverage maintenance in mobile sensor networks. [Internet] [Doctoral dissertation]. Texas A&M University; 2009. [cited 2021 Apr 15]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1564.

Council of Science Editors:

Lee J. Deployment and coverage maintenance in mobile sensor networks. [Doctoral Dissertation]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1564

Queens University

5. Xu, Kenan. Device Deployment Strategies for Large-scale Wireless Sensor Networks .

Degree: Electrical and Computer Engineering, 2008, Queens University

URL: http://hdl.handle.net/1974/987

► Planning device deployment is a fundamental issue in implementing wireless sensor network (WSN) applications. This design practice determines types, numbers and locations of devices in… (more)

Subjects/Keywords: Wireless sensor network ; Deployment

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APA (6^th Edition):

Xu, K. (2008). Device Deployment Strategies for Large-scale Wireless Sensor Networks . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/987

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

Chicago Manual of Style (16^th Edition):

Xu, Kenan. “Device Deployment Strategies for Large-scale Wireless Sensor Networks .” 2008. Thesis, Queens University. Accessed April 15, 2021. http://hdl.handle.net/1974/987.

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

MLA Handbook (7^th Edition):

Xu, Kenan. “Device Deployment Strategies for Large-scale Wireless Sensor Networks .” 2008. Web. 15 Apr 2021.

Vancouver:

Xu K. Device Deployment Strategies for Large-scale Wireless Sensor Networks . [Internet] [Thesis]. Queens University; 2008. [cited 2021 Apr 15]. Available from: http://hdl.handle.net/1974/987.

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

Council of Science Editors:

Xu K. Device Deployment Strategies for Large-scale Wireless Sensor Networks . [Thesis]. Queens University; 2008. Available from: http://hdl.handle.net/1974/987

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

Washington State University

6. [No author]. Real-World Sensor Network Framework for Long-Term Volcano Monitoring .

Degree: 2011, Washington State University

URL: http://hdl.handle.net/2376/3540

► Wireless sensor network, composed of tens or hundreds of low-power and resource-constrained devices, has the potential to greatly enhance the understanding of volcanoes by permitting… (more)

Subjects/Keywords: Computer science; Information science; Data Quality; Deployment; High-Fidelity; Network Management; Sensor Network; Volcano Monitoring

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APA (6^th Edition):

author], [. (2011). Real-World Sensor Network Framework for Long-Term Volcano Monitoring . (Thesis). Washington State University. Retrieved from http://hdl.handle.net/2376/3540

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

Chicago Manual of Style (16^th Edition):

author], [No. “Real-World Sensor Network Framework for Long-Term Volcano Monitoring .” 2011. Thesis, Washington State University. Accessed April 15, 2021. http://hdl.handle.net/2376/3540.

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

MLA Handbook (7^th Edition):

author], [No. “Real-World Sensor Network Framework for Long-Term Volcano Monitoring .” 2011. Web. 15 Apr 2021.

Vancouver:

author] [. Real-World Sensor Network Framework for Long-Term Volcano Monitoring . [Internet] [Thesis]. Washington State University; 2011. [cited 2021 Apr 15]. Available from: http://hdl.handle.net/2376/3540.

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

Council of Science Editors:

author] [. Real-World Sensor Network Framework for Long-Term Volcano Monitoring . [Thesis]. Washington State University; 2011. Available from: http://hdl.handle.net/2376/3540

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

University of California – Irvine

7. GUO, JUN. Performance Optimization of Wireless Sensor Networks.

Degree: Electrical and Computer Engineering, 2019, University of California – Irvine

URL: http://www.escholarship.org/uc/item/9cx187kt

► In this dissertation, I study three factors, sensing quality, connectivity, and energy consumption in static/dynamic wireless sensor networks (WSNs). First, taking sensing quality and connectivity… (more)

Subjects/Keywords: Electrical engineering; Computer engineering; connectivity; node deployment; optimization; quantization; source coding; wireless sensor network

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APA (6^th Edition):

GUO, J. (2019). Performance Optimization of Wireless Sensor Networks. (Thesis). University of California – Irvine. Retrieved from http://www.escholarship.org/uc/item/9cx187kt

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

Chicago Manual of Style (16^th Edition):

GUO, JUN. “Performance Optimization of Wireless Sensor Networks.” 2019. Thesis, University of California – Irvine. Accessed April 15, 2021. http://www.escholarship.org/uc/item/9cx187kt.

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

MLA Handbook (7^th Edition):

GUO, JUN. “Performance Optimization of Wireless Sensor Networks.” 2019. Web. 15 Apr 2021.

Vancouver:

GUO J. Performance Optimization of Wireless Sensor Networks. [Internet] [Thesis]. University of California – Irvine; 2019. [cited 2021 Apr 15]. Available from: http://www.escholarship.org/uc/item/9cx187kt.

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

Council of Science Editors:

GUO J. Performance Optimization of Wireless Sensor Networks. [Thesis]. University of California – Irvine; 2019. Available from: http://www.escholarship.org/uc/item/9cx187kt

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

Queens University

8. Ali, Kashif. Enabling Ultra Large-Scale Radio Identification Systems .

Degree: Computing, 2011, Queens University

URL: http://hdl.handle.net/1974/6686

► Radio Frequency IDentification (RFID) is growing prominence as an automated identification technology able to turn everyday objects into an ad-hoc network of mobile nodes; which… (more)

▼ Radio Frequency IDentification (RFID) is growing prominence as an automated identification technology able to turn everyday objects into an ad-hoc network of mobile nodes; which can track, trigger events and perform actions. Energy scavenging and backscattering techniques are the foundation of low-cost identification solutions for RFIDs. The performance of these two techniques, being wireless, significantly depends on the underlying communication architecture and affect the overall operation of RFID systems. Current RFID systems are based on a centralized master-slave architecture hindering the overall performance, scalability and usability. Several proposals have aimed at improving performance at the physical, medium access, and application layers. Although such proposals achieve significant performance gains in terms of reading range and reading rates, they require significant changes in both software and hardware architectures while bounded by inherited performance bottlenecks, i.e., master-slave architecture. Performance constraints need to be addressed in order to further facilitate RFID adoption; especially for ultra large scale applications such as Internet of Things. A natural approach is re-thinking the distributed communication architecture of RFID systems; wherein control and data tasks are decoupled from a central authority and dispersed amongst spatially distributed low-power wireless devices. The distributed architecture, by adjusting the tag's reflectivity coefficient creates micro interrogation zones which are interrogated in parallel. We investigate this promising direction in order to significantly increase the reading rates and reading range of RFID tags, and also to enhance overall system scalability. We address the problems of energy-efficient tag singulations, optimal power control schemes and load aware reader placement algorithms for RFID systems. We modify the conventional set cover approximation algorithm to determine the minimal number of RFID readers with minimal overlapping and balanced number of tags amongst them. We show, via extensive simulation analysis, that our approach has the potential to increase the performance of RFID technology and hence, to enable RFID systems for ultra large scale applications.

Subjects/Keywords: deployment ; Distributed Systems ; RFID ; Anti-collision ; Coverage ; Internet of things ; Wireless Sensor Network

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APA (6^th Edition):

Ali, K. (2011). Enabling Ultra Large-Scale Radio Identification Systems . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/6686

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

Chicago Manual of Style (16^th Edition):

Ali, Kashif. “Enabling Ultra Large-Scale Radio Identification Systems .” 2011. Thesis, Queens University. Accessed April 15, 2021. http://hdl.handle.net/1974/6686.

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

MLA Handbook (7^th Edition):

Ali, Kashif. “Enabling Ultra Large-Scale Radio Identification Systems .” 2011. Web. 15 Apr 2021.

Vancouver:

Ali K. Enabling Ultra Large-Scale Radio Identification Systems . [Internet] [Thesis]. Queens University; 2011. [cited 2021 Apr 15]. Available from: http://hdl.handle.net/1974/6686.

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

Council of Science Editors:

Ali K. Enabling Ultra Large-Scale Radio Identification Systems . [Thesis]. Queens University; 2011. Available from: http://hdl.handle.net/1974/6686

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

University of Cincinnati

9. Wang, Demin. Wireless Sensor Networks: Deployment Alternatives and Analytical Modeling.

Degree: PhD, Engineering : Computer Science and Engineering, 2008, University of Cincinnati

URL: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1227036446

► A wireless sensor network (WSN) is a collection of sensors which are equipped with wireless radios and deployed in a given network domain (i.e.,… (more)

Subjects/Keywords: Computer Science; Wireless Sensor Network; nonuniform deployment; lifetime

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APA (6^th Edition):

Wang, D. (2008). Wireless Sensor Networks: Deployment Alternatives and Analytical Modeling. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1227036446

Chicago Manual of Style (16^th Edition):

Wang, Demin. “Wireless Sensor Networks: Deployment Alternatives and Analytical Modeling.” 2008. Doctoral Dissertation, University of Cincinnati. Accessed April 15, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1227036446.

MLA Handbook (7^th Edition):

Wang, Demin. “Wireless Sensor Networks: Deployment Alternatives and Analytical Modeling.” 2008. Web. 15 Apr 2021.

Vancouver:

Wang D. Wireless Sensor Networks: Deployment Alternatives and Analytical Modeling. [Internet] [Doctoral dissertation]. University of Cincinnati; 2008. [cited 2021 Apr 15]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1227036446.

Council of Science Editors:

Wang D. Wireless Sensor Networks: Deployment Alternatives and Analytical Modeling. [Doctoral Dissertation]. University of Cincinnati; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1227036446

University of Connecticut

10. Tolba, Sherif A. Computational Modeling for Transportation Network Security.

Degree: MS, Computer Science and Engineering, 2011, University of Connecticut

URL: https://opencommons.uconn.edu/gs_theses/197

Subjects/Keywords: Transportation Network Security; Modeling and Simulation; Wireless Sensor Networks; Risk Analysis; Sensor Deployment

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APA (6^th Edition):

Tolba, S. A. (2011). Computational Modeling for Transportation Network Security. (Masters Thesis). University of Connecticut. Retrieved from https://opencommons.uconn.edu/gs_theses/197

Chicago Manual of Style (16^th Edition):

Tolba, Sherif A. “Computational Modeling for Transportation Network Security.” 2011. Masters Thesis, University of Connecticut. Accessed April 15, 2021. https://opencommons.uconn.edu/gs_theses/197.

MLA Handbook (7^th Edition):

Tolba, Sherif A. “Computational Modeling for Transportation Network Security.” 2011. Web. 15 Apr 2021.

Vancouver:

Tolba SA. Computational Modeling for Transportation Network Security. [Internet] [Masters thesis]. University of Connecticut; 2011. [cited 2021 Apr 15]. Available from: https://opencommons.uconn.edu/gs_theses/197.

Council of Science Editors:

Tolba SA. Computational Modeling for Transportation Network Security. [Masters Thesis]. University of Connecticut; 2011. Available from: https://opencommons.uconn.edu/gs_theses/197

Indian Institute of Science

11. Upadrashta, Raviteja. Design and Development of a Passive Infra-Red-Based Sensor Platform for Outdoor Deployment.

Degree: PhD, Faculty of Engineering, 2018, Indian Institute of Science

URL: http://etd.iisc.ac.in/handle/2005/3439

► This thesis presents the development of a Sensor Tower Platform (STP) comprised of an array of Passive Infra-Red (PIR) sensors along with a classification algorithm… (more)

▼ This thesis presents the development of a Sensor Tower Platform (STP) comprised of an array of Passive Infra-Red (PIR) sensors along with a classification algorithm that enables the STP to distinguish between human intrusion, animal intrusion and clutter arising from wind-blown vegetative movement in an outdoor environment. The research was motivated by the aim of exploring the potential use of wireless sensor networks (WSNs) as an early-warning system to help mitigate human-wildlife conflicts occurring at the edge of a forest. While PIR sensors are in commonplace use in indoor settings, their use in an outdoor environment is hampered by the fact that they are prone to false alarms arising from wind-blown vegetation. Every PIR sensor is made up of one or more pairs of pyroelectric pixels arranged in a plane, and the orientation of interest in this thesis is one in which this plane is a vertical plane, i.e., a plane perpendicular to the ground plane. The intersection of the Field Of View (FOV) of the PIR sensor with a second vertical plane that lies within the FOV of the PIR sensor, is called the virtual pixel array (VPA). The structure of the VPA corresponding to the plane along which intruder motion takes place determines the form of the signal generated by the PIR sensor. The STP developed in this thesis employs an array of PIR sensors designed so as to result in a VPA that makes it easier to discriminate between human and animal intrusion while keeping to a small level false alarms arising from vegetative motion. The design was carried out in iterative fashion, with each successive iteration separated by a lengthy testing phase. There were a total of 5 design iterations spanning a total period of 14 months. Given the inherent challenges involved in gathering data corresponding to animal intrusion, the testing of the SP was carried out both using real-world data and through simulation. Simulation was carried out by developing a tool that employed animation software to simulate intruder and animal motion as well as some limited models of wind-blown vegetation. More specifically, the simulation tool employed 3-dimensional models of intruder and shrub motion that were developed using the popular animation software Blender. The simulated output signal of the PIR sensor was then generated by calculating the area of the 3-dimensional intruder when projected onto the VPA of the STP. An algorithm for efficiently calculating this to a good degree of approximation was implemented in Open Graphics Library (OpenGL). The simulation tool was useful both for evaluating various competing design alternatives as well as for developing an intuition for the kind of signals the SP would generate without the need for time-consuming and challenging animal-motion data collection. Real-world data corresponding to human motion was gathered on the campus of the Indian Institute of Science (IISc), while animal data was recorded at a dog-trainer facility in Kengeri as well as the Bannerghatta Biological Park, both located in the outskirts… Advisors/Committee Members: Vijay Kumar, P (advisor).

Subjects/Keywords: Wireless Sensor Networks; Passive Infra-Red Sensors; Sensor Tower Platform; Virtual Pixel Array (VPA); Intruder Detection and Classification; ASPIRE Simulation Tool; Sensor Network Outdoor Deployment; Passive Infrared Sensor Platform; Passive Infrared based Intrusion; Sensor Nodes; Wireless Sensor Network (WSN); PIR Sensors; Space-time Code Construction; Multiple-antenna Communication; PIR Sensing; Communication Engineering

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APA (6^th Edition):

Upadrashta, R. (2018). Design and Development of a Passive Infra-Red-Based Sensor Platform for Outdoor Deployment. (Doctoral Dissertation). Indian Institute of Science. Retrieved from http://etd.iisc.ac.in/handle/2005/3439

Chicago Manual of Style (16^th Edition):

Upadrashta, Raviteja. “Design and Development of a Passive Infra-Red-Based Sensor Platform for Outdoor Deployment.” 2018. Doctoral Dissertation, Indian Institute of Science. Accessed April 15, 2021. http://etd.iisc.ac.in/handle/2005/3439.

MLA Handbook (7^th Edition):

Upadrashta, Raviteja. “Design and Development of a Passive Infra-Red-Based Sensor Platform for Outdoor Deployment.” 2018. Web. 15 Apr 2021.

Vancouver:

Upadrashta R. Design and Development of a Passive Infra-Red-Based Sensor Platform for Outdoor Deployment. [Internet] [Doctoral dissertation]. Indian Institute of Science; 2018. [cited 2021 Apr 15]. Available from: http://etd.iisc.ac.in/handle/2005/3439.

Council of Science Editors:

Upadrashta R. Design and Development of a Passive Infra-Red-Based Sensor Platform for Outdoor Deployment. [Doctoral Dissertation]. Indian Institute of Science; 2018. Available from: http://etd.iisc.ac.in/handle/2005/3439

Indian Institute of Science

12. Khatri, Vishal. Spectrum Sensing Receivers for Cognitive Radio.

Degree: PhD, Faculty of Engineering, 2018, Indian Institute of Science

URL: http://etd.iisc.ac.in/handle/2005/3121

► Cognitive radios require spectral occupancy information in a given location, to avoid any interference with the existing licensed users. This is achieved by spectrum sensing.… (more)

▼ Cognitive radios require spectral occupancy information in a given location, to avoid any interference with the existing licensed users. This is achieved by spectrum sensing. Existing narrowband, serial spectrum sensors are spectrally inefficient and power hungry. Wideband spectrum sensing increases the number of probable fre-quency candidates for cognitive radio. Wideband RF systems cannot use analog to digital converters (ADCs) for spectrum sensing without increasing the sampling rate and power consumption. The use of ADCs is limited because of the dynamic range of the signals that need to be sampled and the frequency of operation. In this work, we have presented a CMOS based area efficient, dedicated and scalable wideband parallel/serial spectrum sensor for cognitive radio. The key contributions of the thesis are: 1. An injection locked oscillator cascade (ILOC) for parallel LO synthesis. An area-efficient, wideband RF frequency synthesizer, which simultaneously gen-erates multiple local oscillator (LO) signals, is designed. It is suitable for parallel wideband RF spectrum sensing in cognitive radios. The frequency synthesizer consists of an injection locked oscillator cascade where all the LO signals are derived from a single reference oscillator. The ILOC is implemented in a 130-nm technology with an active area of 0.017 mm2. It generates 4 uni-formly spaced LO carrier frequencies from 500 MHz to 2 GHz. 2. A wideband, parallel RF spectrum sensor for cognitive radios has been de-signed. This spectrum sensor is designed to detect RF occupancy from 250 MHz to 5.25 GHz by using an array of CMOS receivers with envelope detec-tors. A parallel LO synthesizer is implemented as an ILOC. The simulated sensitivity is around -25 dBm for 250 MHz wide bandwidth. 3. A mitigation technique for harmonic downconversion in wideband spectrum sensors. The downconversion of radio frequency (RF) components around the harmonics of the local oscillator (LO), and its impact on the accuracy of white space detection using integrated spectrum sensors, is (are) studied. We propose an algorithm to mitigate the impact of harmonic Down conversion by utilizing multiple parallel downconverters in the system architecture. The proposed algorithm is validated on a test-board using commercially avail-able integrated circuits (IC) and a test-chip implemented in a 130-nm CMOS technology. The measured data shows that the impact of the harmonic down-conversion is closely related to the LO characteristics, and that much of it can be mitigated by the proposed technique. 4. A wideband spectrum sensor for narrowband energy detection. A wideband spectrum sensing system for cognitive radio is designed and implemented in a 130-nm RF mixed-mode CMOS technology. The system employs an I-Q downconverter, a pair of complex filters and a pair of envelope detectors for energy detection. The spectrum sensor works from 250 MHz to 3.25 GHz. The design makes use of the band pass nature of the complex filter to achieve two objectives : i) Separation of upper sideband… Advisors/Committee Members: Banerjee, Gaurab (advisor).

Subjects/Keywords: Cognitive Radio; Spectrum Sensing; Spectrum Sensor; Cognitive Radios (CR); Securing Military Networks; Emergency Network Deployment; Wireless Technologies; Spectrum Sensing Receivers; Harmonic Downconversion; Hilbert Transform; Spectrum Sensors; Radio Frequency Synthesizer; Spectrum Sensing Receiver Specification; Communication Engineering

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

APA (6^th Edition):

Khatri, V. (2018). Spectrum Sensing Receivers for Cognitive Radio. (Doctoral Dissertation). Indian Institute of Science. Retrieved from http://etd.iisc.ac.in/handle/2005/3121

Chicago Manual of Style (16^th Edition):

Khatri, Vishal. “Spectrum Sensing Receivers for Cognitive Radio.” 2018. Doctoral Dissertation, Indian Institute of Science. Accessed April 15, 2021. http://etd.iisc.ac.in/handle/2005/3121.

MLA Handbook (7^th Edition):

Khatri, Vishal. “Spectrum Sensing Receivers for Cognitive Radio.” 2018. Web. 15 Apr 2021.

Vancouver:

Khatri V. Spectrum Sensing Receivers for Cognitive Radio. [Internet] [Doctoral dissertation]. Indian Institute of Science; 2018. [cited 2021 Apr 15]. Available from: http://etd.iisc.ac.in/handle/2005/3121.

Council of Science Editors:

Khatri V. Spectrum Sensing Receivers for Cognitive Radio. [Doctoral Dissertation]. Indian Institute of Science; 2018. Available from: http://etd.iisc.ac.in/handle/2005/3121

13. Sitanayah, Lanny. Planning the deployment of fault-tolerant wireless sensor networks.

Degree: 2013, University College Cork

URL: http://hdl.handle.net/10468/905

► Since Wireless Sensor Networks (WSNs) are subject to failures, fault-tolerance becomes an important requirement for many WSN applications. Fault-tolerance can be enabled in different areas… (more)

▼ Since Wireless Sensor Networks (WSNs) are subject to failures, fault-tolerance becomes an important requirement for many WSN applications. Fault-tolerance can be enabled in different areas of WSN design and operation, including the Medium Access Control (MAC) layer and the initial topology design. To be robust to failures, a MAC protocol must be able to adapt to traffic fluctuations and topology dynamics. We design ER-MAC that can switch from energy-efficient operation in normal monitoring to reliable and fast delivery for emergency monitoring, and vice versa. It also can prioritise high priority packets and guarantee fair packet deliveries from all sensor nodes. Topology design supports fault-tolerance by ensuring that there are alternative acceptable routes to data sinks when failures occur. We provide solutions for four topology planning problems: Additional Relay Placement (ARP), Additional Backup Placement (ABP), Multiple Sink Placement (MSP), and Multiple Sink and Relay Placement (MSRP). Our solutions use a local search technique based on Greedy Randomized Adaptive Search Procedures (GRASP). GRASP-ARP deploys relays for (k,l)-sink-connectivity, where each sensor node must have k vertex-disjoint paths of length ≤ l. To count how many disjoint paths a node has, we propose Counting-Paths. GRASP-ABP deploys fewer relays than GRASP-ARP by focusing only on the most important nodes – those whose failure has the worst effect. To identify such nodes, we define Length-constrained Connectivity and Rerouting Centrality (l-CRC). Greedy-MSP and GRASP-MSP place minimal cost sinks to ensure that each sensor node in the network is double-covered, i.e. has two length-bounded paths to two sinks. Greedy-MSRP and GRASP-MSRP deploy sinks and relays with minimal cost to make the network double-covered and non-critical, i.e. all sensor nodes must have length-bounded alternative paths to sinks when an arbitrary sensor node fails. We then evaluate the fault-tolerance of each topology in data gathering simulations using ER-MAC. Advisors/Committee Members: Sreenan, Cormac J., Brown, Kenneth N., HEA.

Subjects/Keywords: MAC protocol; Network deployment planning; Node-disjoint paths; Centrality; Wireless sensor networks

…This requires a sensor network deployment to be planned with an objective of ensuring some… …Sreenan. Fault-Tolerant Relay Deployment for k Node-Disjoint Paths in Wireless Sensor Networks… …Wireless Sensor Network Z-MAC Zebra-MAC xiv Contents Declaration iii Abstract v… …Sensor Network (WSN) is composed of many sensor nodes, which transmit their data… …deployment. In the context of WSN deployment planning, sensor deployment to maximise sensing…

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

APA (6^th Edition):

Sitanayah, L. (2013). Planning the deployment of fault-tolerant wireless sensor networks. (Thesis). University College Cork. Retrieved from http://hdl.handle.net/10468/905

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

Chicago Manual of Style (16^th Edition):

Sitanayah, Lanny. “Planning the deployment of fault-tolerant wireless sensor networks.” 2013. Thesis, University College Cork. Accessed April 15, 2021. http://hdl.handle.net/10468/905.

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

MLA Handbook (7^th Edition):

Sitanayah, Lanny. “Planning the deployment of fault-tolerant wireless sensor networks.” 2013. Web. 15 Apr 2021.

Vancouver:

Sitanayah L. Planning the deployment of fault-tolerant wireless sensor networks. [Internet] [Thesis]. University College Cork; 2013. [cited 2021 Apr 15]. Available from: http://hdl.handle.net/10468/905.

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

Council of Science Editors:

Sitanayah L. Planning the deployment of fault-tolerant wireless sensor networks. [Thesis]. University College Cork; 2013. Available from: http://hdl.handle.net/10468/905

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

University of Cincinnati

14. Venkataraman, Aparna. Dynamic Deployment strategies in Ad-Hoc Sensor networks to optimize Coverage and Connectivity in Unknown Event Boundary detection.

Degree: MS, Engineering and Applied Science: Computer Science, 2011, University of Cincinnati

URL: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1313773833

► There are many ways to geographically determine the boundary of an event based on its location and its nature through Satellite imaging and other learning… (more)

▼ There are many ways to geographically determine the boundary of an event based on its location and its nature through Satellite imaging and other learning mechanisms. In these methods, the availability of resources to perform the detection, their capabilities, actual time available to determine the event and its accessibility are constraints. At times, the satellite images may not be sufficient to get complete information about an event. Here we consider a particular case where the aim is to detect the actual boundary of an event based on its estimated boundary with the above constraints. A typical situation would be to determine the actual boundary of fire given the smoke area, or to estimate the concentration of chemical content, ideally any situation where sensors need to be used in an unmanned situation. We use a deploying agent to drop the sensors and there is a Base Station (BS) to which the event details are communicated by connectivity through localization with neighboring sensors. The research targets dynamic deployment of sensors with coverage and connectivity handled simultaneously as the information can reach the base station only if the sensors are able to connect to it. This is critical for real time applications. So we use an intelligent distribution scheme to test the behavior of different kinds of deployments using random, Gaussian, controlled random and combinational methods to deploy sensors. The set of parameters which are constraints are the communication radius of the base station, sensors & the event, the proximity of the event from the base station and location determination of the event based on the current state of the system. We use a weighted approach with more sensors around the event border and lesser inside to be able to detect the event and yet preserve the sensors as they might be lost due to fire or damage depending on the event. Additionally partial event boundary detection is used as experiment results show that we can reduce the number of sensors by nearly 50% when 80% of the sensors deployed are connected as against 100% connectivity. Test cases also involve multiple BS & deploying agents with parallel control. This will be useful in emergency situations and specifically in situations which do not have pre-deployed sensors wherein, time and resources available are important constraints. Advisors/Committee Members: Agrawal, Dharma (Committee Chair).

Subjects/Keywords: Computer Science; Dynamic network deployment strategies; realtime partial boundary detection; ad-hoc wireless sensor networks; localization; coverage connectivity detectivity; unknown event boundary detection

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

APA (6^th Edition):

Venkataraman, A. (2011). Dynamic Deployment strategies in Ad-Hoc Sensor networks to optimize Coverage and Connectivity in Unknown Event Boundary detection. (Masters Thesis). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1313773833

Chicago Manual of Style (16^th Edition):

Venkataraman, Aparna. “Dynamic Deployment strategies in Ad-Hoc Sensor networks to optimize Coverage and Connectivity in Unknown Event Boundary detection.” 2011. Masters Thesis, University of Cincinnati. Accessed April 15, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1313773833.

MLA Handbook (7^th Edition):

Venkataraman, Aparna. “Dynamic Deployment strategies in Ad-Hoc Sensor networks to optimize Coverage and Connectivity in Unknown Event Boundary detection.” 2011. Web. 15 Apr 2021.

Vancouver:

Venkataraman A. Dynamic Deployment strategies in Ad-Hoc Sensor networks to optimize Coverage and Connectivity in Unknown Event Boundary detection. [Internet] [Masters thesis]. University of Cincinnati; 2011. [cited 2021 Apr 15]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1313773833.

Council of Science Editors:

Venkataraman A. Dynamic Deployment strategies in Ad-Hoc Sensor networks to optimize Coverage and Connectivity in Unknown Event Boundary detection. [Masters Thesis]. University of Cincinnati; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1313773833

University of Otago

15. Aderohunmu, Femi Adekitan. Optimization of energy-efficient transmission protocol for Wireless Sensor Networks .

Degree: 2013, University of Otago

URL: http://hdl.handle.net/10523/4455

► Wireless sensor network (WSN) technologies are increasingly employed in recent years for monitoring purposes in various fields ranging from the engineering industry to our immediate… (more)

▼ Wireless sensor network (WSN) technologies are increasingly employed in recent years for monitoring purposes in various fields ranging from the engineering industry to our immediate home environments due to their ability to intelligently monitor remote locations at low cost. While WSNs are continuously tasked to handle more complex functions, such as, data aggregation, frequent transmissions etc., in-network processing and intelligent computation still necessitate the available energy resources to be judiciously consumed in order to prolong their lifetime, since the nodes are often powered by batteries. In this thesis, our original contribution to knowledge is by developing three key strategies that can efficiently optimize transmission protocols in relation to offer an improved network lifetime for WSN deployments. Our first strategy involves a design of a cluster-based network layer routing protocol. We propose a purely deterministic model that utilizes clustering to organize the WSN. Our design is referred to as DEC: a deterministic energy-efficient clustering protocol. It is dynamic, distributive, self-organizing and it offers better energy efficiency compared with the existing protocols in the same domain. In addition, it utilizes a simplified approach that minimizes computational overhead to self-organize the sensor network. Our simulation result shows a better performance with respect to the energy consumption, which is reflected in the network lifetime of up to 2X improvement in both homogeneous and heterogeneous settings when compared with the existing protocols. It is worth mentioning that our approach approximates an ideal solution to offer a balanced energy consumption in hierarchical wireless sensor networks. Our second strategy to reduce energy consumption in WSN deployment involves designing a light-weight forecasting algorithm for prolonging the lifetime of sensor nodes. A detailed comparison with the state-of-the-art methodologies is conducted and they are evaluated using both a simulation study and a real-world deployment testbed implemented on a 32-bit mote class device. Overall, up to 96% transmission reduction is achieved using our Naive method, while still able to maintain a considerable level of accuracy at less than 2% error bound and it is comparable in performance to other complex models often used in the same domain. Finally, our third strategy to further optimize energy-efficient transmission protocols in a real-world WSN deployment, involves combining the synergies between a data reduction method and a data acquisition method. Unfortunately, energy efficiency is often in contrast with network reactiveness for alarms and urgent messages. Thus, we propose SWIFTNET: a fast-reactive data acquisition protocol. SWIFTNET is built on the synergies between compressive sensing and prediction algorithms and it limits the energy consumption in environmental monitoring and surveillance networks. We show how this approach dramatically reduces the amount of communication required to… Advisors/Committee Members: Deng, Jeremiah Da (advisor).

Subjects/Keywords: energy conservation; optimisation; protocols; quality of service; telecommunication network management; wireless sensor networks; coverage preservation; energy efficiency; energy heterogeneity; energy preservation; heterogeneity aware clustering protocol; optimization; prolonged network lifetime; quality of service; sensor node; spatial uniformity measurement; Energy consumption; Measurement; Monitoring; Protocols; Sensors; Stability; analysis; clustering; Accuracy; Computational modelling; Data models; Least squares approximations; Monitoring; Predictive models; Energy Homogeneity; real-world deployment; testbed; Energy efficiency; Data acquisition; compressed sensing; computerised monitoring; energy consumption; prediction theory; protocols; wildfires; DEC; SWIFTNET; WSN; communication reduction; compressive sensing; data acquisition protocol; environmental monitoring networks; fast-reactive data acquisition scheme; fast-reactive monitoring; prediction algorithms; sampling rate; surveillance networks; wildfire monitoring; Accuracy; Monitoring; Predictive models; Temperature sensors; Life-Time; Three-Tier Energy Setting

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

APA (6^th Edition):

Aderohunmu, F. A. (2013). Optimization of energy-efficient transmission protocol for Wireless Sensor Networks . (Doctoral Dissertation). University of Otago. Retrieved from http://hdl.handle.net/10523/4455

Chicago Manual of Style (16^th Edition):

Aderohunmu, Femi Adekitan. “Optimization of energy-efficient transmission protocol for Wireless Sensor Networks .” 2013. Doctoral Dissertation, University of Otago. Accessed April 15, 2021. http://hdl.handle.net/10523/4455.

MLA Handbook (7^th Edition):

Aderohunmu, Femi Adekitan. “Optimization of energy-efficient transmission protocol for Wireless Sensor Networks .” 2013. Web. 15 Apr 2021.

Vancouver:

Aderohunmu FA. Optimization of energy-efficient transmission protocol for Wireless Sensor Networks . [Internet] [Doctoral dissertation]. University of Otago; 2013. [cited 2021 Apr 15]. Available from: http://hdl.handle.net/10523/4455.

Council of Science Editors:

Aderohunmu FA. Optimization of energy-efficient transmission protocol for Wireless Sensor Networks . [Doctoral Dissertation]. University of Otago; 2013. Available from: http://hdl.handle.net/10523/4455

Open Access Theses and Dissertations