无线可充电传感器网络充电调度算法研究  

Research on Wireless Charging Sensor Network Charging Scheduling Algorithm

作　　者：郑翔 孙霞[1] 许彤彤 Zheng Xiang;Sun Xia;Xu Tongtong(Anhui University of Science and Technology Huainan 232001,China;Fuyang Normal University,Fuyang 236037,China)

机构地区：[1]安徽理工大学电气与信息工程学院,安徽淮南232001 [2]阜阳师范大学,安徽阜阳236037

出　　处：《廊坊师范学院学报（自然科学版）》2020年第1期35-39,共5页Journal of Langfang Normal University(Natural Science Edition)

基　　金：国家自然科学基金资助项目(51874010,61170060);安徽理工大学第五批中青年学术骨干(校人事[2015]29号);安徽省质量工程MOOC项目(2015MOOC043)。

摘　　要：提供一种新的算法,研究无线传感器网络的规模和最优移动充电设备数之间的关系,并进一步阐释在一次充电调度中必须充电节点的选择方案。最后,通过实验方式对算法中的核心参数进行研究,对整个算法的合理性进行验证,证明该算法具有优越的性能。With the help of wireless power transmission technology,power can be transmitted from wireless charging de vices to sensors,providing a new model for extending network life.However,many studies now ignore the effects of uncertain ties such as topological changes.In this research,a new algorithm is developed to study the relationship between the size of wireless sensor network and the optimal number of mobile charging devices,and further explore the energy threshold value of the charging nodes in the two consecutive charging schedules.Next,a specific scheme for mobile charging device movement and node selection during the entire charging schedule is given.Finally,the rationality of the whole algorithm is verified by experiments,and the core parameters of the algorithm are studied.It proves that the algorithm has excellent performance.

关 键 词：无线传感器网络 无线充电 移动充电设备 充电调度 磁耦合谐振 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]