无人机自组网基于加权的稳定分簇算法

相较于传统移动自组网,无人机自组网具有节点移动速度更快、分布范围更广、网络规模更大的显著特征,而分簇结构能实现网络的有效控制和管理,提高网络的扩展性.为了提高分簇结构的稳定性,提出了一种基于加权的稳定分簇算法,该算法基于现有加权分簇算法,从分簇测度指标的选取、指标权重因子分配、分簇稳定保持策略三个方面进行改进.仿真结果表明,该算法不仅能合理控制分簇数量,有效提高网络的扩展性,而且能够延长簇首保持时间和降低成员节点的簇间切换次数,提高分簇的稳定性.

Weighted stable clustering algorithm for flying Ad hoc network

Compared with traditional mobile Ad hoc network, flying Ad hoc network has the characteristics of faster node movement, wider distribution and larger network scale. The clustering structure can realize the effective control and management of the network, and improve the scalability of the network. In order to improve the stability of clustering structure, this paper proposed a weighted stable clustering algorithm. Based on the existing weighted clustering algorithm, the algorithm improved from three aspects: the selection of clustering measure index, the allocation of index weight factor, and the strategy of clustering stability maintenance. Simulation results show that the algorithm can not only reasonably control the number of clusters, effectively improve the scalability of the network, but also extend the holding time of cluster heads and reduce the number of inter cluster handoffs of member nodes, and improve the stability of clustering.