无线可充电传感器网络能耗分级充电策略

Energy Grading Charging Strategy for Wireless Rechargeable Sensor Network

在传统的无线传感器网络中,有限的电池能量会限制传感器网络的寿命。而在无线可充电传感器网络中,能量可以通过无线方式给传感器充电,延长传感器网络的寿命。利用充电小车等移动设备对无线传感器网络进行能量补充时,在一个充电周期内减小充电小车的移动总路径,可以有效减少经济成本。基于无线可充电传感网中各节点的能耗差异性,结合蚁群算法和对旅行商(TSP)问题的研究,提出了基于能耗分级的非固定周期和固定周期两种小车充电策略。仿真结果表明,与传统的充电策略相比,两种新策略均能有效减少充电小车的移动总路径。

In traditional wireless sensor networks,the limited battery energy restricts the lifetime of the sensor network.In wireless rechargeable sensor networks,power can be transferred wirelessly to the sensors which extends the lifetime of the networks.For the method by using mobile charging devices like charging cars to replenish energy for sensors,reducing the total path of the cars is an effective way to reduce the cost.In this work,two charging strategies of cars(non-fixed period algorithm and fixed period algorithm)are proposed based on classification of sensors according to their power consumptions,ant colony algorithm,and traveling salesman problem(TSP)solution.The simulated results show that the proposed two strategies effectively reduce the moving path of the charging cars,compared to the traditional charging one.