A Low-Power FPGA-Based Architecture for Microphone Arrays in Wireless Sensor Networks

Research output: Chapter in Book/Report/Conference proceedingConference paper

8 Citations (Scopus)

Abstract

Microphone arrays add an extra dimension to sensory information from Wireless Sensor Networks by determining the direction of the sound instead of only its intensity. Microphone arrays, however, need to be flexible enough to adapt their characteristics to realistic acoustic environments, while being power efficient, as they are battery-powered. Consequently, there is a clear need to design adaptable microphone array nodes enabling quality aware distributed sensing and prioritizing low power consumption. In this paper a novel dynamic, scalable and energy-efficient FPGA-based architecture is presented. The proposed architecture applies the Delay-and-Sum beamforming technique to the single-bit digital audio from the MEMS microphones to obtain the relative sound power in the time domain. As a result, the resource consumption is drastically reduced, making the proposed architecture suitable for low-power Flash-based FPGAs. In fact, the architecture’s power consumption estimation can become as low as 649 μW per microphone.
Original languageEnglish
Title of host publicationInternational Symposium on Applied Reconfigurable Computing
Subtitle of host publicationArchitectures, Tools, and Applications - 14th International Symposium, ARC 2018, Proceedings
EditorsNikolaos Voros, Georgios Keramidas, Christos Antonopoulos, Michael Huebner, Pedro C. Diniz, Diana Goehringer
Pages281-293
Number of pages13
ISBN (Electronic)978-3-319-78890-6
DOIs
Publication statusPublished - 31 May 2018
EventInternational Symposium on Applied Reconfigurable Computing - Santorini, Fira, Greece
Duration: 2 May 20184 May 2018
Conference number: 14
http://arc2018.esda-lab.cied.teiwest.gr/

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10824 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Symposium on Applied Reconfigurable Computing
Abbreviated titleARC
Country/TerritoryGreece
CityFira
Period2/05/184/05/18
Internet address

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