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Linköping University

1. Amgård, Erik. Efficient Energy Use of FPGA for Underwater Sensor Network.

Degree: Integrated Circuits and Systems, 2019, Linköping University

Operational time is becoming an increasingly important aspect in electronic devices and is also highly relevant in Underwater Acoustic Sensor Networks (UWSN). This thesis contains a study which explores what can be done to de-crease power consumption while maintaining the same functionality of an FPGA inside an underwater sensor-node network. A longer operational time means a more effective system since reconnaissance is one of UWSN’s area of application. The thesis will also cover the implementation of a new sensor-node ‘mode’ which will add new features and increase operational time.

Subjects/Keywords: Underwater Sensor Network; FPGA; FFT; VHDL; Electrical Engineering, Electronic Engineering, Information Engineering; Elektroteknik och elektronik

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

APA (6th Edition):

Amgård, E. (2019). Efficient Energy Use of FPGA for Underwater Sensor Network. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-154299

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):

Amgård, Erik. “Efficient Energy Use of FPGA for Underwater Sensor Network.” 2019. Thesis, Linköping University. Accessed February 22, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-154299.

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

MLA Handbook (7th Edition):

Amgård, Erik. “Efficient Energy Use of FPGA for Underwater Sensor Network.” 2019. Web. 22 Feb 2019.

Vancouver:

Amgård E. Efficient Energy Use of FPGA for Underwater Sensor Network. [Internet] [Thesis]. Linköping University; 2019. [cited 2019 Feb 22]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-154299.

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

Council of Science Editors:

Amgård E. Efficient Energy Use of FPGA for Underwater Sensor Network. [Thesis]. Linköping University; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-154299

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

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