无线可充电传感器网络充电规划模型构建

Charging Programming Modelling and Construction of Wireless Rechargeable Sensor Networks

摘要: 随着无线可充电传感器网络(Wireless Rechargeable Sensor Network, WRSN)在社会生活中的应用越来越广泛，如何制定充电策略来应对更加灵活的充电场景是一个值得研究的问题。首先，本文规划出移动充电器(Mobile Charger, MC)移动路径能量消耗最少的单MC充电策略，在此基础上提出了周期演绎充电模型(Periodic Deductive Charging, PDC)和稳定系统充电模型(Stabilizing System Charging, SSC)，给出了单MC工作的最小电池容量(Minimum Battery Capacity, MBC)的计算方法。然后，结合实际充电场景，分别构建了基于遗传算法和最小电池容量(Minimum Battery Capacity-Genetic Algorithm, MBC-GA)的多MC路线规划模型及支持增加传感器的SSC和多MC模型，得到充电器和传感器数量增加时的路线规划及此时的传感器MBC。最后，通过实例进一步验证了模型的原理，结果证明所提出的模型能有效求解出不同条件下整个系统稳定运行的传感器MBC。

Abstract: With the more and more extensive application of wireless rechargeable sensor network (WRSN) in social life, how to formulate charging strategy to deal with more flexible charging scenarios is a problem worthy of research. Firstly, this paper plans a single mobile charger (MC) charging strategy with the least energy consumption in the mobile path of MC. On this basis, periodic deductive charging (PDC) model and stabilizing system charging (SSC) model are proposed, and the calculation method of minimum battery capacity (MBC) of single MC is given. Then, combined with the actual charging scenario, the Multi MC route planning model based on genetic algorithm and minimum battery capacity genetic algorithm (MBC-GA) and the SSC and Multi MC model supporting the addition of sensors are constructed respectively to obtain the route planning when the number of chargers and sensors increases and the sensor MBC at this time. Finally, the principle of the model is further verified by an example. The results show that the proposed model can effectively solve the sensor MBC of the whole system under different conditions.