Online hole healing for sensor coverage

Zhao Zhang, Zaixin Lu, Xianyue Li, Xiaohui Huang and Ding-Zhu Du ()
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Zhao Zhang: Zhejiang Normal University
Zaixin Lu: Washington State University
Xianyue Li: Lanzhou University
Xiaohui Huang: Zhejiang Normal University
Ding-Zhu Du: University of Texas at Dallas

Journal of Global Optimization, 2019, vol. 75, issue 4, No 9, 1131 pages

Abstract: Abstract Many applications of wireless sensor networks require a quality of service including coverage and connectivity. However, both coverage and connectivity may be lost due to failure of sensors, in which case some holes appear. To heal holes, a hybrid wireless sensor system with mobile sensors has been proposed in the literature. Redundant mobile sensors can move to heal holes. Limited by energy supply, the largest distance that a mobile sensor can move cannot be too large. Such a consideration calls for cascade hole healing. This paper studies online cascade hole healing problem in which holes appear online and should be healed immediately without knowing future locations of holes. Two targets are considered, aiming to minimize the total energy consumption and the largest individual energy consumption, respectively. We show that naive greedy strategy does not work well for both targets, having exponentially large competitive ratios in a worst case. Then, we present two online algorithms with theoretically guaranteed tight competitive ratios. Extensive experiments show that our algorithm approximates offline optimal solutions fairly well.

Keywords: Hole healing; Online algorithm; Competitive ratio (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (4)

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DOI: 10.1007/s10898-019-00827-5

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