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Sensors 2015, 15(8), 19880-19911; doi:10.3390/s150819880

Efficient Sparse Signal Transmission over a Lossy Link Using Compressive Sensing

1
State Key Laboratory of Industrial Control Technology, Zhejiang University, Zheda Road 38th, Hangzhou 310027, China
2
Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Leonhard M. Reindl
Received: 27 June 2015 / Revised: 27 July 2015 / Accepted: 31 July 2015 / Published: 13 August 2015
(This article belongs to the Section Sensor Networks)

Abstract

Reliable data transmission over lossy communication link is expensive due to overheads for error protection. For signals that have inherent sparse structures, compressive sensing (CS) is applied to facilitate efficient sparse signal transmissions over lossy communication links without data compression or error protection. The natural packet loss in the lossy link is modeled as a random sampling process of the transmitted data, and the original signal will be reconstructed from the lossy transmission results using the CS-based reconstruction method at the receiving end. The impacts of packet lengths on transmission efficiency under different channel conditions have been discussed, and interleaving is incorporated to mitigate the impact of burst data loss. Extensive simulations and experiments have been conducted and compared to the traditional automatic repeat request (ARQ) interpolation technique, and very favorable results have been observed in terms of both accuracy of the reconstructed signals and the transmission energy consumption. Furthermore, the packet length effect provides useful insights for using compressed sensing for efficient sparse signal transmission via lossy links. View Full-Text
Keywords: lossy wireless link; compressive sensing; sparse signal transmission; packet length control lossy wireless link; compressive sensing; sparse signal transmission; packet length control
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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MDPI and ACS Style

Wu, L.; Yu, K.; Cao, D.; Hu, Y.; Wang, Z. Efficient Sparse Signal Transmission over a Lossy Link Using Compressive Sensing. Sensors 2015, 15, 19880-19911.

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