一种面向智慧城市场景的传感网自适应无线充电方法

An Adaptive Wireless Charging Method on Sensor Network for Smart City Scene

无线传感器网络(WSN)和物联网(Io T)技术的迅速发展正为通信领域带来一场新的革命,在军事领域、工农业监控、智能电网、智能交通、医疗和安防等领域扮演着越来越重要的角色。然而,无线传感器节点存在电量有限、处理计算能力弱、通信带宽小、内存容量小等缺点,特别是能量有限问题严重制约了物联网的发展。无线可充电传感器网络可解决以上问题,但目前为止所提到的算法中,只考虑了在给所有节点充电的前提下所做的提升(减少损耗和减少充电器数量),没有考虑充电时间和节点冗余问题,还不具备完备性和高效性。据此,文章提出分布式移动充电算法(DMC),减少了无线充电时间。另外,还提出自适应智能充电算法(AIC),通过融合基于GAF算法的一维线性休眠机制,可提升充电效率、节约能耗、减少充电器数量,可大幅度提升无线传感器网络性能。

The rapid development of Wireless Sensor Network （WSN） technology and Internet of Things （IoT） is bringing a new revolution in the field of communication, which is becoming more and more important in military field, industrial and agricultural monitoring, smart grid, intelligent transportation, medical and security fields. However, WSN has the have the disadvantages of limited battery capacity, weak processing and computing power, small communication bandwidth and small memory capacity. Especially, the limited battery capacity has seriously restricted the development of IoT. Therefore, the emergence of wireless chargeable sensor network can solve the above problems. But so far, most of mentioned algorithms have considered only the premise of charging all sensor nodes for optimizing the network system （i.e., reducing the transmission loss and reducing the number of chargers）, without considering the charging time and node redundancy problems, which results in no completeness and no efficiency. In this paper, we propose a Distributed Mobile Charging algorithm （DMC）, which reduces the wireless charging time. In addition, the Adaptive Intelligent Charging algorithm （AIC） is presented by combing the DMC and the proposed one-dimension linear node sleeping mechanism. It can improve the charging efficiency, save energy, reduce the number of chargers and enhance the performance of WSN.