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    覃振权

    • 副教授       硕士生导师
    • 性别:男
    • 毕业院校:中国科学技术大学
    • 学位:博士
    • 所在单位:软件学院、国际信息与软件学院
    • 学科:软件工程
    • 办公地点:开发区校区综合楼413.
    • 电子邮箱:qzq@dlut.edu.cn

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    Optimized Charging in Large-Scale Deployed WSNs with Mobile Charger

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    论文类型:期刊论文

    发表时间:2016-12-31

    发表刊物:KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS

    收录刊物:SCIE、EI、Scopus

    卷号:10

    期号:12

    页面范围:5307-5327

    ISSN号:1976-7277

    关键字:Lifetime; Optimization; Wireless Power Transfer; Wireless Sensor Networks

    摘要:Restricted by finite battery energy, traditional wireless sensor networks (WSNs) can only maintain for a limited period of time, resulting in serious performance bottleneck in long-term deployment of WSN. Fortunately, the advancement in the wireless energy transfer technology provides a potential to free WSNs from limited energy supply and remain perpetual operational. A mobile charger called wireless charging vehicle (WCV) is employed to periodically charge each sensor node and keep its energy level above the minimum threshold. Aiming at maximizing the ratio of the WCV's vocation time over the cycle time as well as guaranteeing the perpetual operation of networks, we propose a feasible and optimal solution to this issue within the context of a real-time large-scale deployed WSN. First, we develop two different types of charging cycles: initialization cycles and renewable cycles and give relevant algorithms to construct these two cycles for each sensor node. We then formulate the optimization problem into an optimal construction algorithm and prove its correctness through theoretical analysis. Finally, we conduct extensive simulations to demonstrate the effectiveness of our proposed algorithms.