SNR efficient transmission for compressive sensing based wireless sensor networks

Seunggye Hwang, Junghun Park, Dongku Kim, Janghoon Yang

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

4 Citations (Scopus)

Abstract

Compressive sensing(CS) is an emerging technology that can recover a signal from under sampled measurements based on sparsity of the signal in some basis domain. Even though CS associated with wireless sensor networks (WSNs) has contributed in developing efficient compression and detection algorithms, most research has focused on detection problem with a simple model without considering properties of physical channels. This paper considers a compressive sensing based WSN, that exploits channel gain to transmit and detect signals efficiently. Assuming that measured signals at each sensor are correlated and sparse at some basis domain, we propose a novel sensor selection scheme and associated signaling channel design to improve detection performance. The simulation results show that the proposed method support reduction in the number of measurmenets by 6080% for a wide range of sparsity level at high and low SNRs.

Original languageEnglish
Title of host publicationProceedings of 2013 6th Joint IFIP Wireless and Mobile Networking Conference, WMNC 2013
DOIs
Publication statusPublished - 2013
Event2013 6th Joint IFIP Wireless and Mobile Networking Conference, WMNC 2013 - Dubai, United Arab Emirates
Duration: 2013 Apr 232013 Apr 25

Publication series

NameProceedings of 2013 6th Joint IFIP Wireless and Mobile Networking Conference, WMNC 2013

Other

Other2013 6th Joint IFIP Wireless and Mobile Networking Conference, WMNC 2013
CountryUnited Arab Emirates
CityDubai
Period13/4/2313/4/25

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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