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考虑随机分布节点的剩余能量以及节点相对基站的位置,针对基站位置的非均匀无线传感器网络,提出了一种基于节点位置和分布密度的多跳自组织分簇算法.该算法在分簇准备阶段,根据节点分布密度和相对基站的距离确定分簇的半径,均衡分簇能耗;在簇头选举阶段,利用节点的剩余能量和节点连接密度信息,选择最优的节点成为簇头;在分簇建立阶段,限制分簇跳数,有效降低簇内通信量.通过一系列的仿真实验,验证了算法在节点均匀和非均匀分布情况下均能取得较好的性能,建立更为均衡的分簇结构,显著提高网络生存周期.
Considering the residual energy of nodes randomly distributed and the location of the node relative to the base station, a multi-hop self-organizing clustering algorithm based on node location and distribution density is proposed for the heterogeneous wireless sensor network with the base station location. , The cluster radius is determined according to the distribution density of the nodes and the distance from the base station, and the energy consumption of the cluster is equalized. At the stage of cluster head election, the remaining node energy and node connection density information are used to select the optimal node to become the cluster head. In the stage of cluster establishment, the number of cluster hops is limited and the intra-cluster traffic is effectively reduced.Through a series of simulation experiments, it is verified that the algorithm can achieve better performance under even and uneven node distribution and establish more balanced points Cluster structure, significantly improve network life cycle.