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A Multi-objective Algorithm for Joint Energy Replenishment and Data Collection in Wireless Rechargeable Sensor Networks

机译:一种多目标算法,用于无线可充电传感器网络中的联合能量补充与数据收集

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In the existing researches on the Wireless Rechargeable Sensor Networks (WRSNs), the charging path is scheduled firstly, and then the method of data collection is decided based on the path, which fails to ensure the high charging service quality and the performance of data collection. To solve this problem, a multi-objective path planning optimization model is proposed with the objectives of maximizing the remaining lifespan of sensor nodes and the amount of data collection. To deal with it, a Multi-Objective Discrete Fireworks Algorithm (MODFA) based on grid is proposed in this paper. Simulation results show that the algorithm proposed has better performance than NSGA-II, SPEA-II and MOEA/D in term of the diversity and convergence of Pareto front.
机译:在对无线可充电传感器网络(WRSNS)的现有研究中,首先调度充电路径,然后根据路径确定数据收集方法,这不能确保高充电服务质量和数据收集的性能。为了解决这个问题,提出了一种多目标路径规划优化模型,其目标最大化了传感器节点的剩余寿命和数据收集量。要处理它,本文提出了一种基于网格的多目标离散烟花算法(MODFA)。仿真结果表明,该算法的性能比NSGA-II,SPEA-II和MOEA / D在帕累托前部的多样性和收敛性方面具有更好的性能。

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