论文标题
学会优化能源收集无线传感器网络的能源效率
Learning to Optimize Energy Efficiency in Energy Harvesting Wireless Sensor Networks
论文作者
论文摘要
我们研究了能源的无线功率传输到多个能源收集节点，目的是提高能源效率。源使用每个时间插槽中的一个可用功率水平之一将能量传输到节点，而节点将信息传递到了收获的能量。源没有任何渠道状态信息，它只知道从给定节点中接收的代码字已成功解码。借助这些有限的信息，来源必须学习最大程度地提高网络能源效率的最佳功率水平。我们将问题建模为随机的多臂匪徒问题，并开发出基于上限的基于置信度的算法，该算法学习了能源最大化能源效率的最佳传输功率。与基准方案相比，数值结果验证了所提出的算法的性能保证，并显示出显着增长。
We study wireless power transmission by an energy source to multiple energy harvesting nodes with the aim to maximize the energy efficiency. The source transmits energy to the nodes using one of the available power levels in each time slot and the nodes transmit information back to the energy source using the harvested energy. The source does not have any channel state information and it only knows whether a received codeword from a given node was successfully decoded or not. With this limited information, the source has to learn the optimal power level that maximizes the energy efficiency of the network. We model the problem as a stochastic Multi-Armed Bandits problem and develop an Upper Confidence Bound based algorithm, which learns the optimal transmit power of the energy source that maximizes the energy efficiency. Numerical results validate the performance guarantees of the proposed algorithm and show significant gains compared to the benchmark schemes.
