Loading [MathJax]/extensions/TeX/ieee_stixext.js
Network-Aware Optimal Microphone Channel Selection in Wireless Acoustic Sensor Networks | IEEE Conference Publication | IEEE Xplore

Network-Aware Optimal Microphone Channel Selection in Wireless Acoustic Sensor Networks


Abstract:

To address the vital problem of selecting the most useful microphones in wireless acoustic sensor networks, this paper proposes a novel, general-purpose approach that acc...Show More

Abstract:

To address the vital problem of selecting the most useful microphones in wireless acoustic sensor networks, this paper proposes a novel, general-purpose approach that accounts for both acoustic and network aspects and remains application-agnostic for broad applicability. The inter-channel correlation of single-channel signal features, together with tools from spectral graph theory, is used to assess the usefulness from an acoustic perspective. By only transmitting the features that characterize signal frames as opposed to the full signal waveform, the unique constraints of wireless sensor networks are accommodated. The source-to-sink transmission delay, resulting from embedding a distributed signal processing application into a wireless network, captures the usefulness from a network perspective. The experiments demonstrate the efficacy of the proposed method for an exemplary multichannel signal processing application.
Date of Conference: 06-11 June 2021
Date Added to IEEE Xplore: 13 May 2021
ISBN Information:

ISSN Information:

Conference Location: Toronto, ON, Canada

Funding Agency:


References

References is not available for this document.