Energy Efficiency Maximization in Wireless Powered Sensor Networks

Tao Liu, Xiaomei Qu, Wenrong Tan
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Abstract

To solve the low energy transfer efficiency problem in wireless powered sensor networks, we propose a novel Cosoperative Power and Information Transfer Scheme (CPITS) in this paper, which utilizes the simultaneous wireless information and power transfer technique to integrate power charging with data transfer. Then, we formulate the cooperative power and information transfer problem in CPITS as a non-convex optimization problem aiming at maximizing energy efficiency. Furthermore, we provide an iteration algorithm based on the Dinkelbach method [1] and a Distributed Optimal Policy Computation Algorithm to resolve this non-convex optimization problem. Experimental results show the superiority of CPITS.
无线传感网络的能源效率最大化
为了解决无线供电传感器网络中能量传输效率低的问题,本文提出了一种新型的协同功率和信息传输方案(CPITS),该方案利用无线信息和功率同步传输技术,将充电与数据传输相结合。然后,我们将CPITS中的合作功率和信息传递问题表述为一个以能源效率最大化为目标的非凸优化问题。此外,我们提出了一种基于Dinkelbach方法的迭代算法[1]和一种分布式最优策略计算算法来解决这一非凸优化问题。实验结果表明了CPITS的优越性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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