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Sensors (Basel). 2019 Jan 11;19(2). pii: E266. doi: 10.3390/s19020266.

Rate-Distortion Performance and Incremental Transmission Scheme of Compressive Sensed Measurements in Wireless Sensor Networks.

Author information

1
Coordenação de Telecomunicações-CEFET/RJ-Campus Petrópolis, Petrópolis 25620-003, Brazil. felipe.henriques@cefet-rj.br.
2
PROSAICO⁻DETEL/PEL⁻FEN, Universidade do Estado do Rio de Janeiro, Rio de Janeiro 20559-900, Brazil. lisandro@uerj.br.
3
PEE/COPPE, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-901, Brazil. eduardo@smt.ufrj.br.

Abstract

We consider a Wireless Sensor Network (WSN) monitoring environmental data. Compressive Sensing (CS) is explored to reduce the number of coefficients to transmit and consequently save the energy of sensor nodes. Each sensor node collects N samples of environmental data, these are CS coded to transmit M < N values to a sink node. The M CS coefficients are uniformly quantized and entropy coded. We investigate the rate-distortion performance of this approach even under CS coefficient losses. The results show the robustness of the CS coding framework against packet loss. We devise a simple strategy to successively approximate/quantize CS coefficients, allowing for an efficient incremental transmission of CS coded data. Tests show that the proposed successive approximation scheme provides rate allocation adaptivity and flexibility with a minimum rate-distortion performance penalty.

KEYWORDS:

compressive sensing; successive approximation; wireless sensor network

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