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Sensors 2019, 19(2), 266; https://doi.org/10.3390/s19020266

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

1
Coordenação de Telecomunicações—CEFET/RJ—Campus Petrópolis, Petrópolis 25620-003, Brazil
2
PROSAICO–DETEL/PEL–FEN, Universidade do Estado do Rio de Janeiro, Rio de Janeiro 20559-900, Brazil
3
PEE/COPPE, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-901, Brazil
Current address: Coordenação de Telecomunicações—CEFET/RJ—Campus Petrópolis, Petrópolis 25620-003, Brazil.
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Received: 6 December 2018 / Revised: 29 December 2018 / Accepted: 2 January 2019 / Published: 11 January 2019
(This article belongs to the Special Issue Signal and Information Processing in Wireless Sensor Networks)
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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. View Full-Text
Keywords: wireless sensor network; compressive sensing; successive approximation wireless sensor network; compressive sensing; successive approximation
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Da Rocha Henriques, F.; Lovisolo, L.; Barros da Silva, E.A. Rate-Distortion Performance and Incremental Transmission Scheme of Compressive Sensed Measurements in Wireless Sensor Networks. Sensors 2019, 19, 266.

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