Efficient Energy Use of FPGA for Underwater Sensor Network

Detta är en Master-uppsats från Linköpings universitet/Elektroniska Kretsar och System

Författare: Erik Amgård; Kevin Bergman; [2019]

Nyckelord: Underwater Sensor Network; FPGA; FFT; VHDL;

Sammanfattning: 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.

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