Clustering in Mobile Ad Hoc Networks with Differential Evolution

被引：0
|
作者：
Chakraborty, U. K. [1 ]
Das, S. K. [2 ]
Abbott, T. E. [1 ]
机构：
[1] Univ Missouri, Dept Math & Comp Sci, St Louis, MO 63121 USA
[2] Univ Texas Arlington, Dept Comp Sci & Engn, Arlington, TX USA
来源：
2011 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC) | 2011年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents a new, differential-evolution-based method for solving the problem of optimal selection of cluster-heads and cluster-members in mobile ad hoc networks. A novel encoding scheme is used to represent nodes in the network graph, and randomly-generated networks of different sizes are solved. The present method handles problems of much larger sizes than do the best-known methods in the literature. Empirical results show the superiority of this method over state-of-the-art approaches on two counts: quality of the solution and time to find the solution.
引用
收藏
页码：2223 / 2228
页数：6
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