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Issue No.01 - Jan. (2014 vol.25)
pp: 234-243
Linghe Kong , Shanghai Jiao Tong Univ., Shanghai, China
Xiao-Yang Liu , Shanghai Jiao Tong Univ., Shanghai, China
Jialiang Lu , Shanghai Jiao Tong Univ., Shanghai, China
Yunhuai Liu , Shanghai Jiao Tong Univ., Shanghai, China
Min-You Wu , Shanghai Jiao Tong Univ., Shanghai, China
Wei Shu , Shanghai Jiao Tong Univ., Shanghai, China
Coverage is a fundamental problem in wireless sensor networks (WSNs). Conventional studies on this topic focus on 2D ideal plane coverage and 3D full space coverage. The 3D surface of a field of interest (FoI) is complex in many real-world applications. However, existing coverage studies do not produce practical results. In this paper, we propose a new coverage model called surface coverage. In surface coverage, the field of interest is a complex surface in 3D space and sensors can be deployed only on the surface. We show that existing 2D plane coverage is merely a special case of surface coverage. Simulations point out that existing sensor deployment schemes for a 2D plane cannot be directly applied to surface coverage cases. Thus, we target two problems assuming cases of surface coverage to be true. One, under stochastic deployment, what is the expected coverage ratio when a number of sensors are adopted? Two, if sensor deployment can be planned, what is the optimal deployment strategy with guaranteed full coverage with the least number of sensors? We show that the latter problem is NP-complete and propose three approximation algorithms. We further prove that these algorithms have a provable approximation ratio. We also conduct extensive simulations to evaluate the performance of the proposed algorithms.
Surface treatment, Sensors, Stochastic processes, Wireless sensor networks, Approximation algorithms, Approximation methods, Volcanoes,optimal coverage strategy, Wireless sensor networks, surface coverage, expected coverage ratio
Linghe Kong, Mingchen Zhao, Xiao-Yang Liu, Jialiang Lu, Yunhuai Liu, Min-You Wu, Wei Shu, "Surface Coverage in Sensor Networks", IEEE Transactions on Parallel & Distributed Systems, vol.25, no. 1, pp. 234-243, Jan. 2014, doi:10.1109/TPDS.2013.35
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