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Sensors 2016, 16(9), 1372; doi:10.3390/s16091372

Target Coverage in Wireless Sensor Networks with Probabilistic Sensors

1
School of Computer Science, Hangzhou Dianzi University, Hangzhou 310018, China
2
School of Science, Hangzhou Dianzi University, Hangzhou 310018, China
*
Author to whom correspondence should be addressed.
Academic Editor: Mohamed F. Younis
Received: 3 June 2016 / Revised: 13 August 2016 / Accepted: 19 August 2016 / Published: 27 August 2016
(This article belongs to the Section Sensor Networks)
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Abstract

Sensing coverage is a fundamental problem in wireless sensor networks (WSNs), which has attracted considerable attention. Conventional research on this topic focuses on the 0/1 coverage model, which is only a coarse approximation to the practical sensing model. In this paper, we study the target coverage problem, where the objective is to find the least number of sensor nodes in randomly-deployed WSNs based on the probabilistic sensing model. We analyze the joint detection probability of target with multiple sensors. Based on the theoretical analysis of the detection probability, we formulate the minimum ϵ-detection coverage problem. We prove that the minimum ϵ-detection coverage problem is NP-hard and present an approximation algorithm called the Probabilistic Sensor Coverage Algorithm (PSCA) with provable approximation ratios. To evaluate our design, we analyze the performance of PSCA theoretically and also perform extensive simulations to demonstrate the effectiveness of our proposed algorithm. View Full-Text
Keywords: wireless sensor networks; target coverage; probabilistic sensor wireless sensor networks; target coverage; probabilistic sensor
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Shan, A.; Xu, X.; Cheng, Z. Target Coverage in Wireless Sensor Networks with Probabilistic Sensors. Sensors 2016, 16, 1372.

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