Adaptive Weighted Clustering Algorithm for Large-Scale Satellite Cluster Network

To overcome the shortcomings of the plane management structure in the large-scale satellites cluster network, an adaptive distributed weighted clustering algorithm (ADWCA) was proposed. It was arranged to calculate the comprehensive weight of each satellite node in the initialization phase on the ground and to divide the nodes into cluster head and member node according to the predictability of the satellites network operation. And then, labeled cluster head and member node, the satellites were maintained in a completely distributed manner based on their neighbors and their own information. Simulation analysis results show that, compared with the lowest-Id algorithm and the highest-connectivity degree algorithm, the cluster structure generated by this algorithm possesses fewer clusters, better stability, and can effectively balance the load of cluster head nodes.