Workshop on QoE-Aware Resource Allocation for Multimedia Communications

Research Article

Coverage Holes Detecting and Healing in Hybrid Wireless Networks

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  • @INPROCEEDINGS{10.4108/eai.13-7-2017.2271748,
        author={Chengsi Qi and Guanglin Zhang and Jiajie Ren and Demin Li},
        title={Coverage Holes Detecting and Healing in Hybrid Wireless Networks},
        proceedings={Workshop on QoE-Aware Resource Allocation for Multimedia Communications},
        publisher={EAI},
        proceedings_a={QOE-RAMC},
        year={2017},
        month={12},
        keywords={coverage estimate healing hybrid sensor networks},
        doi={10.4108/eai.13-7-2017.2271748}
    }
    
  • Chengsi Qi
    Guanglin Zhang
    Jiajie Ren
    Demin Li
    Year: 2017
    Coverage Holes Detecting and Healing in Hybrid Wireless Networks
    QOE-RAMC
    EAI
    DOI: 10.4108/eai.13-7-2017.2271748
Chengsi Qi1, Guanglin Zhang1,*, Jiajie Ren1, Demin Li1
  • 1: College of Information Science and Technology, Donghua University, Shanghai, 201620, P. R. China, Engineering Research of Center of Digitized Textile and Apparel Technology, Ministry of Education
*Contact email: glzhang@dhu.edu.cn

Abstract

Nowadays, wireless sensor network which consists of numerous tiny sensors has been widely used. One of the major challenges in such networks is how to cover the sensing area effectively and maintain longer network lifetime with limited energy simultaneously. In this paper, we study hybrid network which contains both static and mobile sensors. We divide monitoring area into Delaunay Triangulation (DT) by using of Delaunay theory, based on the DT we estimate static sensors coverage holes and then work out the position of assisted mobile nodes in each triangle. In addition, we simulate our algorithm and compared with the previous methods on the platform MATLAB. The results show our algorithm is simpler and more efficient than the previous.