A Max-Flow Based Algorithm for Connected Target Coverage with Probabilistic Sensors
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School of Computer Science, Hangzhou Dianzi University, Hangzhou 310018, China
2
School of Science, Hangzhou Dianzi University, Hangzhou 310018, China
3
College of Economics, Hangzhou Dianzi University, Hangzhou 310018, China
*
Author to whom correspondence should be addressed.
Academic Editor: Mohamed F. Younis
Sensors 2017, 17(6), 1208; https://doi.org/10.3390/s17061208
Received: 7 April 2017
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Revised: 10 May 2017
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Accepted: 19 May 2017
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Published: 25 May 2017
(This article belongs to the Section Sensor Networks)
Coverage is a fundamental issue in the research field of wireless sensor networks (WSNs). Connected target coverage discusses the sensor placement to guarantee the needs of both coverage and connectivity. Existing works largely leverage on the Boolean disk model, which is only a coarse approximation to the practical sensing model. In this paper, we focus on the connected target coverage issue based on the probabilistic sensing model, which can characterize the quality of coverage more accurately. In the probabilistic sensing model, sensors are only be able to detect a target with certain probability. We study the collaborative detection probability of target under multiple sensors. Armed with the analysis of collaborative detection probability, we further formulate the minimum ϵ-connected target coverage problem, aiming to minimize the number of sensors satisfying the requirements of both coverage and connectivity. We map it into a flow graph and present an approximation algorithm called the minimum vertices maximum flow algorithm (MVMFA) with provable time complex and approximation ratios. To evaluate our design, we analyze the performance of MVMFA theoretically and also conduct extensive simulation studies to demonstrate the effectiveness of our proposed algorithm.
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Keywords:
WSN; target coverage; connectivity; probabilistic sensor
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MDPI and ACS Style
Shan, A.; Xu, X.; Cheng, Z.; Wang, W. A Max-Flow Based Algorithm for Connected Target Coverage with Probabilistic Sensors. Sensors 2017, 17, 1208. https://doi.org/10.3390/s17061208
AMA Style
Shan A, Xu X, Cheng Z, Wang W. A Max-Flow Based Algorithm for Connected Target Coverage with Probabilistic Sensors. Sensors. 2017; 17(6):1208. https://doi.org/10.3390/s17061208
Chicago/Turabian StyleShan, Anxing, Xianghua Xu, Zongmao Cheng, and Wensheng Wang. 2017. "A Max-Flow Based Algorithm for Connected Target Coverage with Probabilistic Sensors" Sensors 17, no. 6: 1208. https://doi.org/10.3390/s17061208
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