基于WOA的WSN能量均衡分簇算法

WSN energy equalization clustering algorithm based on WOA

文章提出一种基于鲸鱼优化算法(WOA)的能量均衡聚类算法(WOA-EDB)来设计簇头(CH)选择的目标函数。WOA-EDB基于WOA,对收敛因子进行了改进以获得非线性收敛因子,并利用WOA中的优化适应度函数将具有最佳地理位置和能量的节点作为簇头。实验结果表明,WOA-EDB算法能有效地延长网络生命周期和获得更均衡的CH分布空间。

This paper proposes an energy-balanced clustering algorithm(WOA-EDB)based on the Whale Optimization Algorithm(WOA)to design the objective function of cluster head(CH)selection.Based on WOA,WOA-EDB improves the convergence factor to obtain the nonlinear convergence factor,and uses the optimal fitness function in WOA to use the node with the best geographic location and energy as the cluster head.The experimental results show that the WOAEDB algorithm can effectively prolong the network life cycle and obtain a more balanced CH distribution space.