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MNVPCS: Multinode Virtual-Point–Based Charging Scheme to Prolong the Lifetime of Wireless Rechargeable Sensor Networks

机译:MNVPCS:基于多边形虚拟点的充电方案,以延长无线可充电传感器网络的寿命

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Wireless-charging technology can utilize a mobile wireless charging vehicle (WCV) to rescue dying nodes by supplementing their remaining energy, and using WCVs in this way forms wireless rechargeable sensor networks (WRSNs). However, a WCV in a WRSN encounters several challenges, collectively called the optimized charging problem. This problem involves a set of sensor nodes randomly distributed on the ground for which the WCV must determine an appropriate travel path to charge the sensor nodes. Because these sensor nodes have different workloads, they exhibit different energy consumption profiles over time. Resolving the above-mentioned problem requires the determination of the priority of charging the sensor nodes based on the order in which they are expected to die and subsequently finding the most efficient path to charge the sensor nodes such that sensor death is avoided for as long as possible. Furthermore, the most efficient placement of the charging point needs to be considered when planning the charging path. To address this, the proposed multinode virtual point-based charging scheme (MNVPCS) considers both the planning of an efficient charging and the best location for the charging point. Experimental results show that MNVPCS can improve the lifetime of the entire WRSN and substantially outperform other methods on this measure.
机译:无线充电技术可以利用移动无线充电车辆(WCV)来拯救通过补充其剩余能量,并以这种方式使用WCVS形成无线可充电传感器网络(WRSN)。然而,WRSN中的WCV遇到了几个挑战,共同称为优化的充电问题。这个问题涉及一组随机分布在地面上的传感器节点,其中WCV必须确定适当的行驶路径以对传感器节点充电。因为这些传感器节点具有不同的工作负载,所以它们随着时间的推移表现出不同的能耗配置文件。解析上述问题需要确定基于预期对传感器节点充电的优先级,并随后找到充电的最有效的路径,使得只要避免传感器死亡的传感器死亡可能的。此外,规划充电路径时需要考虑充电点的最有效放置。为了解决这个问题,所提出的多个基于虚拟点的计费方案(MNVPC)考虑了有效充电的规划和充电点的最佳位置。实验结果表明,MNVPC可以改善整个WRSN的寿命,并在该措施上大大优于其他方法。

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