能量收集多跳D2D无线传感网络中的中继选择算法

针对无线功率传输技术的能量收集效率有限造成信噪比下降进而引发通信中断率增加的问题，在能量收集多跳D2D(Device to Device)无线传感网络中，提出一种基于改进K-means聚类的中继选择方法。首先，推导得到能量收集下的信噪比因子，使其作为K-means聚类特征。然后，利用最小欧氏距离原则得到距离聚类中心最近的实际节点的位置。最后，根据距离重排序得到中继节点，形成从源节点到目的节点的通信链路。仿真实验结果表明，相比最短路径算法和随机中继协作方案，所提出的改进算法链路信噪比更大，能够减小通信中断率，具有更好的中继性能。

A relay selection algorithm in energy harvesting multi-hop D2D wireless sensor networks

The energy harvesting efficiency of wireless power transmission is limited,which will reduce signal-to-noise ratio(SNR) and further increase the communication interruption rate.To solve this problem,a relay selection method based on improved clustering is proposed in the energy harvesting multi-hop device to device(D2D) wireless sensor networks.Firstly,the SNR factor under energy harvesting is derived as a K-means clustering feature,and then the actual nodes closest to the cluster center are obtained by using the minimum Euclidean distance principle.Finally,based on the method of distance reordering,the relay nodes are selected,and the communication link from the source node to the destination node is formed.Simulation experiment results show that,compared with the shortest path algorithm and the random relay cooperation scheme,the improved algorithm in this paper has a larger link SNR.It can reduce the communication interruption rate and has better relay performance.