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An area coverage algorithm for non-line-of-sight ultraviolet communication network

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Abstract

The non-line-of-sight ultraviolet (UV) communication can be applied in certain circumstances. In this paper, a graded area coverage optimization algorithm based on genetic algorithm (GACOA) is proposed to reduce the deployment cost of network and enhance the area coverage of network. Firstly, the simulation results show that the GACOA approach can improve the coverage ratio and save the deployment cost. Then, the performance of GACOA with different communication angles and number of nodes is simulated and analyzed. When the GACOA, PFCEA, and CSRCA are applied in the UV network, the performance metrics of GACOA are better than that of PFCEA and CSRCA in the same UV network. Therefore, the deployment of the UV network can be completed efficiently with a low deployment cost.

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Acknowledgments

This paper is supported by Natural Science Foundation of China -Civil Aviation Administration of China Joint Research Fund (No. U1433110), The Industrial Public Relation Project of Shaanxi Technology Committee (No. 2014K05-18), Research Project of Shaanxi’s Ministry of Education (No. 2013JC09), Natural Science Basic Research Plan in Shaanxi Province of China (Nos. 2013JQ8011, 2013JC2-15) and Science Program Project of Beilin District in Xi’an (No. GX1302).

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  1. Faculty of Automation and Information Engineering, Xi’an University of Technology, Xi’an, 710048, Shaanxi, China

    Zhao Taifei, Gao Yingying & Zhang Ying

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  1. Zhao Taifei
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  2. Gao Yingying
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  3. Zhang Ying
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Correspondence to Zhao Taifei.

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Taifei, Z., Yingying, G. & Ying, Z. An area coverage algorithm for non-line-of-sight ultraviolet communication network. Photon Netw Commun 32, 269–280 (2016). https://doi.org/10.1007/s11107-016-0622-7

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  • DOI: https://doi.org/10.1007/s11107-016-0622-7

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