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Symmetric Algorithm for Detection of Coverage Hole in Wireless Sensor Network

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Abstract

For the problems of traditional overburden hole detection methods, such as overtime, low accuracy and high running cost, etc. A multi factor reliable coverage hole detection method based on LEACH algorithm is proposed. Based on the analysis of the QoS architecture of wireless sensor networks and the research of representative network layer symmetry protocols, a symmetric network model is constructed according to the selection of gateway performance parameters, gateway selection criterion function and symmetry criterion, and a symmetric criterion design and optimization strategy is given. It uses this strategy to improve LEACH algorithm in three aspects. Two reliability optimization factors are added to the similarity calculation of coverage hole detection, which are node intrusion optimization factor and multipath transmission optimization factor respectively. Multipath transmission optimization factor is used in data transmission. In hostile environments, in order to avoid a large number of malicious nodes interfering with real data, the data containing noise should be filtered and processed. Then, the similarity is calculated by multi-path transmission optimization factor, and the coverage holes of wireless sensor networks are detected by weighted average. The experimental results show that the proposed method takes less time to detect the covering holes, which has higher detection accuracy and lower operation cost.

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Funding

This research is supported by Henan Science and Technology Research Project: Research on Intelligent Family Health Service System Based on Mobile Internet Technology, 172102210118.

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  1. Information Engineering College, Pingdingshan University, Pingdingshan, 467000, China

    Feifei Wang & Haifeng Hu

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  1. Feifei Wang
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  2. Haifeng Hu
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Correspondence to Feifei Wang.

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Wang, F., Hu, H. Symmetric Algorithm for Detection of Coverage Hole in Wireless Sensor Network. Wireless Pers Commun 127, 141–158 (2022). https://doi.org/10.1007/s11277-021-08097-9

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  • DOI: https://doi.org/10.1007/s11277-021-08097-9

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