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An Algorithm for Hybrid Nodes Barrier Coverage Based on Voronoi in Wireless Sensor Networks

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Data Science (ICPCSEE 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 728))

Abstract

In order to make up for the deficiencies and insufficiencies that wireless sensor network is constituted absolutely by static or dynamic sensor nodes. So a deployment mechanism for hybrid nodes barrier coverage (HNBC) is proposed in wireless sensor network, which collaboratively consists of static and dynamic sensor nodes. We introduced the Voronoi diagram to divide the whole deployment area. According to the principle of least square method, and the static nodes are used to construct the reference barrier line (RBL). And we implemented effectively barrier coverage by monitoring whether there is a coverage hole in the deployment area, and then to determine whether dynamic nodes need limited mobility to redeploy the monitoring area. The simulation results show that the proposed algorithm improved the coverage quality, and completed the barrier coverage with less node moving distance and lower energy consumption, and achieved the expected coverage requirements and objectives.

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Acknowledgement

This work was supported by the National Natural Science Foundation of China under Grant No. 61363059 and No. 61662070, Science and Technology Support Program of Gansu Province under Grant No. 1604FKCA097, the Young Teachers’ Research Ability Improvement Program for Northwest Normal University (No. NWNU-LKQN-13-24).

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Correspondence to Rucang Ma .

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Dang, X., Ma, R., Hao, Z., Ma, M. (2017). An Algorithm for Hybrid Nodes Barrier Coverage Based on Voronoi in Wireless Sensor Networks. In: Zou, B., Han, Q., Sun, G., Jing, W., Peng, X., Lu, Z. (eds) Data Science. ICPCSEE 2017. Communications in Computer and Information Science, vol 728. Springer, Singapore. https://doi.org/10.1007/978-981-10-6388-6_18

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  • DOI: https://doi.org/10.1007/978-981-10-6388-6_18

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6387-9

  • Online ISBN: 978-981-10-6388-6

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