【摘要】 在权值簇化算法WCA的基础上,利用人工免疫系统中的克隆选择原理来提高移动Ad-hoc网络的簇化性能,从而实现用尽可能少的簇头来管理尽可能多的簇成员,以保证网络拓扑结构的相对稳定。仿真结果表明,利用克隆选择原理优化的方法在簇头的数量、更新次数等多方面均优于WCA算法。更多还原

【Abstract】 In this paper,Weighted Clustering Algorithm(WCA) is optimized by means of clonal selection algorithm in artificial immune systems.Therefore clustering performance of Mobile Ad-hoc Networks(MANET) is enhanced,such that a smaller number of cluster-heads serve the maximum possible number of mobile nodes within their clusters to guarantee relative stability of topological construction in MANET.Simulation results show that the performance of the optimized WCA is better than the original WCA in many aspects such as the number of cluster-heads and so on.更多还原