个人信息Personal Information
性别:男
毕业院校:大连理工大学
学位:硕士
所在单位:软件学院、国际信息与软件学院
学科:计算机应用技术. 通信与信息系统
联系方式:0411-62274436
电子邮箱:zhuming@dlut.edu.cn
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.