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Maintaining sensor networks perpetually via wireless recharging mobile vehicles

机译:通过无线充电的移动车辆永久维护传感器网络

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The emerging wireless energy transfer technology based on magnetic resonant coupling is a promising technology for wireless sensor networks as it can provide a controllable and perpetual energy source to sensors. In this paper we study the use of minimum number of wireless charging mobile vehicles to charge sensors in a sensor network so that none of the sensors runs out of its energy, subject to the energy capacity imposed on mobile vehicles, for which we first advocate an flexible ondemand wireless charging paradigm that decouples sensor energy charging scheduling from data routing protocols design. We then formulate an optimization problem of scheduling mobile vehicles to charge lifetime-critical sensors with an objective to minimize the number of mobile vehicles deployed, subject to the energy capacity constraint on each mobile vehicle. As the problem is NP-hard, we devise an approximation algorithm with a provable performance guarantee for it. We finally evaluate the performance of the proposed algorithm through experimental simulations. Experimental results demonstrate that the proposed algorithm is promising, and the solution obtained is fractional of the optimal.
机译:新兴的基于磁共振耦合的无线能量传输技术是无线传感器网络的一项有前途的技术,因为它可以为传感器提供可控制的永久性能源。在本文中,我们研究了使用最少数量的无线充电式移动车辆为传感器网络中的传感器充电,以使所有传感器都不会耗尽其能量,这取决于施加在移动车辆上的能量容量,为此,我们首先主张灵活的按需无线充电范例,将传感器能量充电调度与数据路由协议设计脱钩。然后,我们制定了一个优化问题,即调度移动车辆向对生命周期至关重要的传感器充电,其目标是根据每辆移动车辆的能源容量限制,尽量减少部署的移动车辆的数量。由于问题是NP难题,因此我们设计了一种近似算法,并为其提供了可证明的性能保证。我们最终通过实验仿真评估了所提出算法的性能。实验结果表明,该算法是有前途的,所获得的解仅占最优解的几分之一。

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