无线供能网络中数据收集的能量效率最大化方案

Energy-efficiency maximization scheme for data collection in wireless power communication networks

研究提出由多个射频能量源和汇聚节点组成的无线供能网络,通过联合最优化能量源的发送功率、能量发送时长和节点的数据发送时间,最大化数据收集的能量效率。首先对能量效率最大化问题进行建模。接着,分析得到发送功率的最优取值,并进一步推导出能量效率函数的单调性和吞吐量函数的凹凸性。最后,基于这些属性设计出联合使用黄金分割法和二分法的高效最优算法的快速得到最优解。仿真结果表明,相比于基准方法,所提出的最优算法能显著提高能量效率。

WPCN composed of multiple RF energy sources and sinks was studied. The energy efficiency of data collection were maximized by jointly optimizing the transmission power of energy sources, the time allocation of wireless energy transfer and the time allocation of nodes’ data transmission. Specifically, the energy efficiency maximization problem was modeled firstly. Then, the optimal value of transmitted power was obtained, and the monotonicity of energy-efficiency function and the convexity of throughput function were further deduced. Finally, based on these properties, an efficient algorithm which combines golden-section search and bisection search was designed to get the optimal solution quickly. The simulation results show that the proposed optimal algorithm can significantly improve the energy efficiency compared with the baseline scheme.