Title: Self-adaptive sleep scheduling for wireless sensor networks

Authors: Jing Zhang; Han Yan; Bin Wang; Jianping Wang; Xiaodong Fu

Addresses: School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan 650500, China ' School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan 650500, China ' School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan 650500, China ' School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan 650500, China ' School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan 650500, China

Abstract: The wireless sensor network (WSN) generally includes a large amount of cheap embedded equipment powered by battery. Therefore, the WSN is restricted in the aspect of resource dissipation. When designing WSN it is one of the core problems to optimise the power dissipation in order to lengthen the network life. In real-world usage, nodes of WSN are often densely distributed because nowadays the hardware cost of sensor nodes is relatively low. The net topological structure can be optimised by taking advantage of the data redundancy brought out by extra nodes. Thus we present a Self-Adaptive Sleep Scheduling (SASS) algorithm against the energy-conserving problem of high-density WSN on the basis of a classic topology control algorithm: ASCENT. We improve the state transition mechanism of ASCENT and take the data redundancy into consideration. Through the experiments, it is proved that SASS is more energy efficient and improves the stability.

Keywords: WSNs; self-adaptive sleep scheduling; wireless sensor networks; topology control; energy conservation; ASCENT; network lifetime; data redundancy; energy conservation; energy efficiency.

DOI: 10.1504/IJWMC.2015.070939

International Journal of Wireless and Mobile Computing, 2015 Vol.8 No.4, pp.346 - 352

Received: 17 Jul 2014
Accepted: 04 Oct 2014
Published online: 03 Aug 2015 *

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