A Dynamic Scale UAV Weighted Clustering Algorithm

Abstract

To resolve the problem of network management problem in UAV formation, a dynamic scale UAV weighted clustering algorithm(DSWCA) is proposed in this paper, in which the cluster structure for network optimization is used. By Determining the optimal, maximum and minimum values of the cluster scale and make the cluster scale dynamic, the algorithm can achieve superior performance in network load balance. In the maintenance stage, a cluster head replacement threshold is introduced to replace the original cluster heads in time before the energy is run out, which avoids frequent cluster reorganization and fusion, thus the stability of the UAV formation is improved and the UAV formation survival cycle is extended. Simulation results show that THE performance DSWCA better than other UAV clustering algorithms.