Title: A low-delay energy-efficient decision strategy in duty-cycled wireless sensor networks

Authors: Lijie Xu; Haipeng Dai; Guihai Chen

Addresses: State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China ' State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China ' Shanghai Key Laboratory of Scalable Computing and Systems, Shanghai Jiao Tong University, Shanghai 200240, China

Abstract: In many event-driven wireless sensor networks (WSNs) where sensor nodes are often put in a duty-cycled mode for energy saving, event delay and energy efficiency are always at odds. Detection of rare events in a fast and energy-efficient manner is an important and challenging issue in WSNs. In this paper, we aim at the moderate-scale networks and propose a fully distributed low-delay energy-efficient decision strategy (LEDS) to handle this problem. By adopting an online cooperative scheme between neighbouring sensing nodes, LEDS avoids the redundant transmissions and achieves a good network performance involving delay and energy efficiency. Moreover, we also extend our solution to the large-scale networks by combining LEDS with a sink augmentation scheme. Finally, our simulation results reveal that LEDS exhibits a quite good tradeoff between average event delay and network lifetime, and also outperforms the existing solution.

Keywords: WSNs; wireless sensor networks; duty-cycled mode; rare-event detection; low-delay decision strategy; energy efficiency; online cooperative scheme; tradeoff; event delay; simulation; network lifetime.

DOI: 10.1504/IJSNET.2015.067865

International Journal of Sensor Networks, 2015 Vol.17 No.2, pp.82 - 92

Received: 14 Apr 2013
Accepted: 26 Dec 2013
Published online: 07 Mar 2015 *

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