Optimized Periodical Charging in Large-Scale Deployed WSNs

被引：0

作者：

Qin, Zhenquan ^{[1
]}

Lu, Bingxian ^{[1
]}

Zhou, Chunting ^{[1
]}

Wang, Lei ^{[1
]}

Zhu, Ming ^{[1
]}

Shu, Lei ^{[2
]}

Zhu, Xiaojing ^{[3
]}

机构：

[1] Dalian Univ Technol, Sch Software, Dalian, Peoples R China

[2] Guangdong Univ Petrochem Technol, Guangdong Petrochem Equipment Fault Diag Key Lab, Maoming, Peoples R China

[3] Lanzhou Univ, Dept Math & Stat, Lanzhou 730000, Peoples R China

来源：

2015 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM) | 2015年

关键词：

D O I：

10.1109/GLOCOM.2015.7417064

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

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 proposes a feasible and optimal solution to this issue within the context of a real-time large-scale deployed WSN.

引用

页数：6

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