Optimal Network Localization by Particle Swarm Optimization

被引：0
|
作者：
Rusu, Catalin V. [1 ]
Ahn, Hyo-Sung [2 ]
机构：
[1] Romanian Inst Sci & Technol, Ctr Cognit & Neural Studies Coneural, Cluj Napoca 400487, Romania
[2] GIST, Sch Mechatron, Gwangju, South Korea
来源：
2011 IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT CONTROL (ISIC) | 2011年
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
The practical and theoretical importance of network localization has determined a great focus from the scientific community. In recent years several schemes have been proposed to solve the localization problem under certain constraints. Here, we apply the particle swarm optimization (PSO) paradigm to the problem of constructing optimally localizable networks. Alternative solutions which yield non-optimal solutions are also discussed. Simulations are carried out to show the convergence properties of the proposed PSO algorithm. We conclude that optimal network localization can be achieved in an efficient way by using PSO.
引用
收藏
页码：620 / 625
页数：6
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