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针对LEACH协议簇头节点分布不均导致无线传感网节点能量消耗不均衡等不足,提出一种结合K-means均匀分簇和数据回归的能量均衡策略.采用优化初始簇中心K-means算法构建均匀分簇的分级无线传感网,通过获取节点地理位置信息,采用K-means聚类算法形成k个均匀分簇,再选举簇内节点剩余能量最多者当选簇头.该成簇算法可以使网络负载均匀,延长网络生存周期.通过优化初始簇中心的选择,降低K-means算法的迭代次数,使其更快收敛,成簇时间开销更少,簇与簇之间的地理分布也更均匀.在稳定数据传输阶段,采用数据回归的方法来减少普通节点与簇首的通信量,以达到降低功耗的作用.实验结果表明,该策略能够有效降低节点的功耗,延长网络的生存时间.
Aiming at the lack of energy consumption of LEACH nodes due to the uneven distribution of cluster head nodes in LEACH protocol, an energy balance strategy combining K-means uniform clustering and data regression is proposed.An optimized cluster center K-means algorithm Hierarchical wireless sensor network with uniform clustering is proposed. K-means clustering algorithm is adopted to form k uniform clusters by obtaining the geographical location information of the nodes, and then the cluster heads are elected with the most residual energy of the nodes in the cluster. The clustering algorithm can make Network load is uniform and network lifetime is prolonged.Through optimizing the choice of initial cluster center, the number of iterations of K-means algorithm can be reduced to make it converge more quickly, less cluster time overhead and more even geographic distribution between clusters In the stage of stable data transmission, the method of data regression is adopted to reduce the traffic of ordinary nodes and cluster heads, so as to reduce the power consumption.The experimental results show that this strategy can effectively reduce the node power consumption and extend the network lifetime .