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Wireless charging using mobile robot for lifetime prolongation in sensor networks

机译:使用移动机器人进行无线充电以延长传感器网络的使用寿命

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Wireless sensor networks (WSN) are energy constrained. It is often very difficult to charge directly sensor nodes due to environmental constraints. The “wireless charging” technology has enabled nodes a possibility to recover additional energy. In this paper, we present first a topology construction for minimum spanning tree based sensor networks using Kursals algorithm. Then, we present our proposed algorithm that aims to extend network lifetime. This algorithm is based on giving additional energy to nodes depending on their positions in the spanning tree. We consider a mobile charger vehicle traveling periodically inside the sensor network and charging each sensor node's battery. Finally, we implemented our proposed algorithm using Matlab to evaluate performance in large-scale networks and shows the simulation results that show an improvement of network's lifetime.
机译:无线传感器网络(WSN)受能量限制。由于环境限制,直接对传感器节点直接充电通常非常困难。 “无线充电”技术使节点能够回收更多的能量。在本文中,我们首先使用Kursals算法为基于最小生成树的传感器网络提出一种拓扑构造。然后,我们提出了旨在延长网络寿命的拟议算法。该算法基于根据节点在生成树中的位置为节点提供额外的能量。我们考虑一种移动充电器车辆,该车辆定期在传感器网络内部行驶并为每个传感器节点的电池充电。最后,我们使用Matlab实现了我们提出的算法,以评估大型网络的性能,并显示了仿真结果,该结果表明网络的寿命得以改善。

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