论文部分内容阅读
在传统GAF算法的基础上,提出了基于最优簇首数划分单元格的GAF改进算法。改进算法利用推导出的最优簇首数进行单元格的划分,在簇头选择阶段,根据节点吞吐率等条件定义了簇头选择函数来选择簇头。并对不同基站位置的改进GAF算法进行了性能分析与仿真。仿真结果表明改进算法能有效节约能耗且与理论分析相符。
Based on the traditional GAF algorithm, an improved GAF algorithm based on the optimal cluster head is proposed. The improved algorithm divides the cells by using the number of the optimal clusters. In the cluster head selection stage, the cluster head selection function is defined to select the cluster heads according to the node throughput rate and other conditions. And the performance analysis and simulation of the improved GAF algorithm for different base station locations are performed. The simulation results show that the improved algorithm can effectively save energy consumption and is consistent with the theoretical analysis.