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Link to original content: https://doi.org/10.1007/s12083-018-0653-1
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An algorithm for calculating coverage rate of WSNs based on geometry decomposition approach

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Abstract

Coverage rate is an important parameter in WSNs, which the higher the coverage rate, the better the ability of the network to fulfill its monitoring function. Aiming at the shortcoming of the great error in the calculation for network coverage rate, we propose an algorithm for calculating coverage rate based on geometry decomposition approach (CRGD), a kind of accurate calculating method. Against the random WSNs in non-border area, it segments the irregular coverage region into several regular bows and triangles by geometry decomposition approach, which areas can be calculated conveniently. Then, it accumulates the areas and gets the coverage rate finally. According to the experimental results and analysis, CRGD’s precision can be over 99%, which make the algorithm meet the requirements of practical application satisfactorily.

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Acknowledgements

The research presented in this paper is supported by National Natural Science Foundation of China(61371177), Major Scientific and Technological Special Project of Shandong Province(2015ZDXX0201B04), the Space Support Technology Fund Projects(Grant No.2014-HT-HGD10), and the Fundamental Research Funds for the Central Universities (Grant No.HIT.NSRIF.201723).

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Authors and Affiliations

  1. Harbin Institute of Technology (Weihai), Weihai, China

    Xu Hui, Wang Bailing, Song Jia, Hong Haohan & Zhang Xiaolei

Authors
  1. Xu Hui
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  2. Wang Bailing
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  3. Song Jia
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  4. Hong Haohan
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  5. Zhang Xiaolei
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Corresponding author

Correspondence to Song Jia.

Additional information

This article is part of the Topical Collection: Special Issue on Network Coverage

Guest Editors: Shibo He, Dong-Hoon Shin, and Yuanchao Shu

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Hui, X., Bailing, W., Jia, S. et al. An algorithm for calculating coverage rate of WSNs based on geometry decomposition approach. Peer-to-Peer Netw. Appl. 12, 568–576 (2019). https://doi.org/10.1007/s12083-018-0653-1

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  • DOI: https://doi.org/10.1007/s12083-018-0653-1

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