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针对无线传感器网络分簇路由算法中随机选举簇头容易偏离最佳值的问题,提出一种基于簇头期望的能量均衡路由优化算法(CHEEB).其核心思想是:在选举簇头时同时考虑分簇负载分布情况和节点剩余能量两个优化目标,通过改进选举簇头时的阈值来保证每一轮簇头数目在期望范围,以缓解簇头能量消耗不均衡的问题;同时通过控制不同位置簇头的覆盖范围,考虑距离权值和剩余能量权值,使得簇头的成员节点分布较为均匀,以提高节点能量效率.仿真实验结果表明,该算法在能量均衡具有较好的性能,生命周期比传统分簇算法延长了25%.
Aiming at the problem that the randomly elected cluster head tends to deviate from the optimal value in WSN clustering routing algorithm, an energy balanced routing optimization algorithm (CHEEB) based on the cluster head expectation is proposed. Its core idea is to consider simultaneously Cluster load distribution and node residual energy. By improving the threshold value of cluster head selection, the number of cluster heads in each round can be guaranteed to be within the expected range so as to alleviate the unbalanced energy consumption of cluster heads. At the same time, by controlling different positions The coverage of cluster heads is considered, and the weights of distance and residual energy are considered to make the nodes of cluster heads distributed more evenly to improve the energy efficiency of the nodes.The simulation results show that the algorithm has better performance in energy balance, life cycle 25% longer than the traditional clustering algorithm.