Title: An adaptable CS-based transmission scheme in wireless sensor network

Authors: Hao Yang; Keming Tang

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 ' School of Information Engineering, Yancheng Teachers University, Yancheng, 224002, China; Jiangsu Key Laboratory for Big Data of Psychology and Cognitive Science, Yancheng, 224002, China

Abstract: As the essential requirement of wireless sensor network, energy-efficient data transmission has been paying a lot attention. Compressive sensing (CS) has been currently utilised to save consumption of sensors. However, a vital problem still remains unclear that whether the execution costs of sensors employing CS is not worth being considered, motivating us to explore the answer from a point of real deployment platform view. Presenting observations from our operating sensor network with 124 nodes, we verify two important facts: 1) The power costs of measure processing of sensors cannot be negligible as the increasing of samplings; 2) Measurements will constantly change along the routing and force relay sensors to consume more. Based on our findings, we propose an adaptable CS-based transmission scheme, ACS. With our experiments, energy is economised at least 15%. Our work gives a potential guideline for future designs of WSN in practice.

Keywords: compressive sensing; data transmission; adaptable transmission; wireless sensor network.

DOI: 10.1504/IJAHUC.2019.100083

International Journal of Ad Hoc and Ubiquitous Computing, 2019 Vol.31 No.2, pp.123 - 132

Received: 26 Nov 2016
Accepted: 25 Oct 2017

Published online: 07 Jun 2019 *

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