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Minimizing the Number of Mobile Chargers to Keep Large-Scale WRSNs Working Perpetually

机译:最大限度地减少移动充电器的数量,以保持大型WRSN永久工作

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Wireless Rechargeable Sensor Networks, in whichmobile chargers(MCs) are employed to recharge the sensor nodes, have attracted wide attention in recent years. Under proper charging schedules, theMCs could keep all the sensor nodes working perpetually. SinceMCs can be very expensive, this paper tackles the problem of deciding the minimum number ofMCs and their charging schedules to keep every sensor node working continuously. This problem is NP-hard; we divide it into two subproblems and propose a GCHA (Greedily Construct,Heuristically Assign) scheme to solve them. First, the GCHA greedily addresses aTour Construction Problemto construct a set of tours to 1-cover the WRSN. Energy of the sensor nodes in each of these tours can be timely replenished by oneMCaccording to the decision condition derived from aGreedy Charging Scheme(GCS). Second, the GCHA heuristically solves aTour Assignment Problemto assign these tours to minimum number ofMCs. Then each of theMCs can apply the GCS to charge along its assigned tours. Simulation results show that, on average, the number ofMCs obtained by the GCHA scheme is less than 1.1 over a derived lower bound and less than 0.5 over related work.
机译:近年来,采用移动充电器(MC)为传感器节点充电的无线可充电传感器网络引起了广泛的关注。在适当的充电时间表下,MC可以使所有传感器节点永久工作。由于MC可能非常昂贵,因此本文解决了确定最小数量的MC及其充电计划以保持每个传感器节点连续工作的问题。这个问题很难解决。我们将其分为两个子问题,并提出了一个GCHA(贪婪构造,启发式分配)方案来解决它们。首先,GCHA贪婪地解决了一个旅游建设问题,以构建一组旅游以覆盖WRSN。每个MC传感器节点中的能量可以通过MC根据Greedy Charging Scheme(GCS)得出的决策条件及时补充。其次,GCHA启发式地解决了一个“旅行分配问题”,以将这些旅行分配给最少数量的MC。然后,每个MC都可以应用GCS沿其分配的路线进行充电。仿真结果表明,平均而言,通过GCHA方案获得的MC数量在导出的下界范围内小于1.1,在相关工作范围内小于0.5。

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