【摘要】 为了提高跨洋航空自组网分簇结构的稳定性和网络的扩展性，提出了一种多参数加权分簇算法（MWCA）。首先根据飞机节点的邻居节点参数、节点移动性参数和高度参数构造节点稳定性参数；随后基于节点稳定性参数进行簇头（CH）节点选举，并通过广播进行簇划分和簇维护；最后结合跨洋航空的应用场景对MWCA进行仿真。研究表明：在高密度和高移动性的情况下，所提出算法能够使整个簇结构保持较低的CH变化频率，并维持成簇数量稳定。更多还原

【Abstract】 To improve the stability of the clustering structure of the transoceanic aviation ad hoc network and the scalability of the network, a Multi-Parameter Weighted Clustering Algorithm(MWCA) is proposed. Firstly, the node stability parameter is constructed according to the neighbor node parameters, node mobility parameters and altitude parameters of the aircraft nodes.Subsequently, the Cluster Head(CH) nodes are elected based on the node stability parameters, and cluster division and cluster maintenance are carried out through broadcasting. Finally, the multi-parameter weighted clustering algorithm MWCA is simulated in combination with the application scenarios of transoceanic aviation. Research shows that in the case of high density and high mobility, the proposed algorithm can keep the cluster head change rate of the entire cluster structure at a low level and maintain the stability of the number of clusters.更多还原