Title: An energy-efficient transmission approach using compressed sensing

Authors: Hao Yang; Xiwei Wang

Addresses: School of Information Engineering, Yancheng Teachers University, Yancheng, 224002, China; Jiangsu Key Laboratory for Big Data of Psychology and Cognitive Science, Yancheng, 224002, China ' Department of Computer Science, Northeastern Illinois University, Chicago, 60625, USA

Abstract: In the process of transmission in wireless sensor networks (WSN), a vital problem is that a centre region close to the sink will form in which sensors have to cost vast amount of energy. To communicate in an energy-efficient manner, compressed sensing (CS) has been employed gradually. However, the performance of plain CS is significantly dependant on the specific data gathering strategy in practice. In this paper, we propose an energy-efficient data gathering scheme based on regionalisation CS. Subsequently, advanced methods for practical applications are considered. Experiments reveal that our scheme outperforms distributed CS, the straight forward and the mixed schemes by comparing different parameters of the data package, and the considered methods also guarantee its feasibility.

Keywords: regionalisation compressed sensing; transmission; wireless sensor network; WSN.

DOI: 10.1504/IJSNET.2018.093130

International Journal of Sensor Networks, 2018 Vol.27 No.3, pp.172 - 179

Received: 26 Sep 2017
Accepted: 26 Sep 2017

Published online: 02 Jul 2018 *

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