Clustering in mobile ad hoc network based on neural network

被引:2
|
作者
Chen Ai-bin [1 ]
Cai Zi-xing
Hu De-wen
机构
[1] Cent S Univ, Sch Informat Sci & Engn, Changsha 410083, Peoples R China
[2] Cent S Univ Forestry & Technol, Sch Comp Sci, Changsha 410004, Peoples R China
[3] Natl Univ Def Technol, Coll Mechatron & Automat, Changsha 410073, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
ad hoc network; clustering; neural network;
D O I
10.1007/s11771-006-0016-6
中图分类号
TF [冶金工业];
学科分类号
0806 ;
摘要
An on-demand distributed clustering algorithm based on neural network was proposed. The system parameters and the combined weight for each node were computed, and cluster-heads were chosen using the weighted clustering algorithm, then a training set was created and a neural network was trained. In this algorithm, several system parameters were taken into account, such as the ideal node-degree, the transmission power, the mobility and the battery power of the nodes. The algorithm can be used directly to test whether a node is a cluster-head or not. Moreover, the clusters recreation can be speeded up.
引用
收藏
页码:699 / 702
页数:4
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