基于聚类算法构建具有全局稳定性的移动自组网分层网络结构

Jing Wu, Guo-chang Gu, G. Hou
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引用次数: 1

摘要

在manet中,集群机制解决了可扩展性问题。然而,目前的聚类算法只考虑影响簇内结构稳定性的一些指标,而忽略了影响簇间结构稳定性的一些更有利于全局稳定性的指标。为了解决这一问题,本文提出了一种聚类算法。对簇内结构和簇间结构的稳定性指标进行了综合测量。为了更好地理解我们的算法,给出了一个解释性的例子。为了比较该算法与具有簇头的聚类算法的性能,我们模拟了簇形成和维护过程中的结构调整时间和网络开销。结果表明,该算法更有利于全局分层结构的稳定性,大大降低了网络开销,提高了全局网络的性能。
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A Clustering Algorithm to Construct a Hierarchical Network Structure with Global Stability for Mobile Ad Hoc Networks
In MANETs, the scalability problem has been solved by the clustering mechanism. However, current clustering algorithms consider on the network stability only in terms of some metrics affecting innercluster structure's stability, and neglect some metrics affecting intercluster structure's stability which are more favorable to global stability. To solve this problem, a clustering algorithm is proposed in this paper. It gives a comprehensive measurement on stability metrics of the innercluster structure and the intercluster structure. For a better comprehension of our algorithm, an explanatory example is given. To compare the performance of our algorithm to that of clustering algorithms with clusterheads, we simulate the structural adjusting times and network overheads during the process of the cluster formation and maintenance. The conclusion shows that our algorithm is more favorable to the stability of the global hierarchical structure and reduces network overheads a lot, which improves the global network performance.
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