一种基于蚁群算法的自适应聚类算法

Ying-Wei Chen, Xin Xia, Rongxi Wang
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引用次数: 2

摘要

提出了一种新的基于蚁群算法的Ad Hoc聚类算法。该协议引入了节点可靠性来反映节点的通信环境状况和节点的繁忙程度。同时,节点可靠性也是影响节点信息素的因素之一。在聚类和集群维护过程中,在节点信息素的引导下,选择最优节点作为簇头管理集群成员,节点信息素的不断累积和及时更新,增加了所形成集群的稳定性。集群是基于多跳的,可以根据网络的大小进行调整。在集群中,簇头利用蚁群算法按需寻找到目标节点的最佳路由,以减轻簇头的负担和路由开销。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An ad-hoc clustering algorithm based on ant colony algorithm
This paper proposes a new Ad Hoc clustering algorithm based on ant colony algorithm. The protocol has introduced the node reliability to reflect the node communication environment situation and how busy the node is. At the same time, the node reliability is one of the node pheromone factors. In the process of clustering and cluster maintenance, it elects the optimal node as cluster head to management cluster members with the guidance of the node pheromone which is cumulative and updating timely to increase the stability of the clusters formed. The clusters are based on multi-hop which can be adjusted according to the size of network. In the cluster, the cluster heads found the best route to the destination node on-demand with ant colony algorithm to reduce the burden on the cluster head and the routing overhead.
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