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A Homology Based Coverage Optimization Algorithm for Wireless Sensor Networks

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Ad Hoc Networks (ADHOCNETS 2019)

Abstract

Simplicial complex provides a precise and tractable representation of the topology of wireless sensor networks. In this paper, a coverage optimization algorithm based on Rips complex is given for the purpose of energy conservation of wireless sensor networks. Considering an area of interest which is covered by sensor nodes completely and even superfluously, our algorithm is performed to turn off redundant sensor nodes effectively in the network while maintaining the coverage consistently. Simulation results show that this distributed algorithm can remove more than 70% internal sensor nodes, and complexity analysis for our algorithm is given.

This work is supported in part by the National Natural Science Foundation of China (No. 61601122, 61871370 and U1805262), the Open Project of Key Laboratory of Wireless Sensor Network & Communication, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences (No. 20190907), the Fundamental Research Funds for the Central Universities (No. 2242019K40188), the Natural Science Foundation of Shanghai, China under grant No. 18ZR1437500, the Hundred Talent Program of Chinese Academy of Sciences under grant No. Y86BRA1001.

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Correspondence to Feng Yan .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Xiang, L. et al. (2019). A Homology Based Coverage Optimization Algorithm for Wireless Sensor Networks. In: Zheng, J., Li, C., Chong, P., Meng, W., Yan, F. (eds) Ad Hoc Networks. ADHOCNETS 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 306. Springer, Cham. https://doi.org/10.1007/978-3-030-37262-0_24

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  • DOI: https://doi.org/10.1007/978-3-030-37262-0_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37261-3

  • Online ISBN: 978-3-030-37262-0

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