Multi-weighted Optimization Clustering Algorithm Based on the Multi-Agent and Simulation Study

Amulti-weighted optimization clustering algorithm based on the multi-Agent is presented in the paper.The algorithm defines multiple Agent types,considers the multiple network parameters that have a great influence on the reasonable distribution of cluster heads when choosing the cluster heads,takes the mobile Agent inspired mechanism for partial updates in the update stage.The simulation results show that the algorithm not only can choose the reasonable cluster heads to make the energy consumption evenly but also can save the energy consumption of the whole network.