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Charging Utility Maximization in Wireless Rechargeable Sensor Networks by Charging Multiple Sensors Simultaneously

机译:通过同时为多个传感器充电来最大化无线充电传感器网络中的充电效用

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Wireless energy charging has been regarded as a promising technology for prolonging sensor lifetime in wireless rechargeable sensor networks (WRSNs). Most existing studies focused on one-to-one charging between a mobile charger and a sensor that suffers charging scalability and efficiency issues. A new charging technique - one-to-many charging scheme that allows multiple sensors to be charged simultaneously by a single charger can well address the issues. In this paper, we investigate the use of a mobile charger to charge multiple sensors simultaneously in WRSNs under the energy capacity constraint on the mobile charger. We aim to minimize the sensor energy expiration time by formulating a novel charging utility maximization problem, where the amount of utility gain by charging a sensor is proportional to the amount of energy received by the sensor. We also consider the charging tour length minimization problem of minimizing the travel distance of the mobile charger if all requested sensors must be charged, assuming that the mobile charger has sufficient energy to support all requested sensor charging and itself travelling. Specifically, in this paper, we first devise an approximation algorithm with a constant approximation ratio for the charging utility maximization problem if the energy consumption of the mobile charger on its charging tour is negligible. Otherwise, we develop an efficient heuristic for it through a non-trivial reduction from a length-constrained utility maximization problem. We then, devise the very first approximation algorithm with a constant approximation ratio for the charging tour length minimization problem through exploiting the combinatorial property of the problem. We finally evaluate the performance of the proposed algorithms through experimental simulations. Simulation results demonstrate that the proposed algorithms are promising, and outperform the other heuristics in various settings.
机译:无线能量充电已被认为是延长无线可充电传感器网络(WRSN)中传感器寿命的有前途的技术。现有的大多数研究都集中在移动充电器和传感器之间的一对一充电问题,该传感器存在充电可扩展性和效率问题。一种新的充电技术-一对多充电方案,允许单个充电器同时为多个传感器充电,可以很好地解决这些问题。在本文中,我们研究了在移动充电器的能量容量约束下,使用移动充电器为WRSN中的多个传感器同时充电的情况。我们旨在通过制定新颖的充电效用最大化问题来最大程度地减少传感器能量的到期时间,在这种问题中,对传感器充电的效用增益量与传感器接收的能量成正比。如果移动充电器具有足够的能量来支持所有请求的传感器充电及其自身行进,我们还考虑了如果必须对所有请求的传感器充电的情况下最小化移动充电器行进距离的充电行程长度最小化问题。具体来说,在本文中,如果移动充电器在其充电行程中的能耗可忽略不计,我们首先设计一种具有恒定近似比的近似算法来解决充电效用最大化问题。否则,我们会通过有效地减少长度受限的效用最大化问题来开发一种有效的启发式方法。然后,我们通过利用问题的组合性质,为充电行程长度最小化问题设计第一个具有恒定近似比率的近似算法。我们最终通过实验仿真评估了所提出算法的性能。仿真结果表明,所提出的算法是有前途的,并且在各种情况下都优于其他启发式算法。

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