Research on Weighted Clustering Algorithm for Ad Hoc Networks Based on Topology Correlation
Luchao Shan, Luyong Zhang · Journal of Physics Conference Series · 2019
Abstract In order to improve the clustering performance of wireless networks, an improved multi-parameter weighted clustering algorithm named TCWCA was proposed. The algorithm takes into account the calculation factors of node degree, inter-node distance, node mobility, node energy, and the increment of network topology association in the clustering process. In addition, the algorithm applies the increments of regional topology association of network nodes to the process of calculating weighting factors. The simulation results show that the algorithm has better clustering performance and improves the stability of the network clustering structure.