朱明
Gender:Male
Alma Mater:大连理工大学
Degree:Master's Degree
School/Department:软件学院、国际信息与软件学院
Discipline:Computer Applied Technology. Communication and Information Systems
Contact Information:0411-62274436
E-Mail:zhuming@dlut.edu.cn
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Indexed by:期刊论文
Date of Publication:2016-12-31
Journal:KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS
Included Journals:SCIE、EI、Scopus
Volume:10
Issue:12
Page Number:5307-5327
ISSN No.:1976-7277
Key Words:Lifetime; Optimization; Wireless Power Transfer; Wireless Sensor Networks
Abstract: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.