An Intelligent Weighted Clustering Algorithm(IWCA) for Ad Hoc

被引：0
|
作者：
Zhao, Xiqing [1 ]
Guo, Xifeng [1 ]
Sun, Zhaohao [2 ]
Ren, Changming [3 ]
机构：
[1] Hebei North Univ, Dept Comp Sci, Zhangjiakou, Peoples R China
[2] Hebei Normal Univ, Coll Math & Informat Sci, Sch Comp Sci & Technol, Shijiazhuang, Peoples R China
[3] Tianjin Univ, Dept Comp Sci & Technol, Tianjin, Peoples R China
来源：
2009 WRI WORLD CONGRESS ON SOFTWARE ENGINEERING, VOL 3, PROCEEDINGS | 2009年
关键词：
Ad Hoc; Intelligent Clustering Algorithm; weight;
D O I：
10.1109/WCSE.2009.352
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Intelligent management to the large scale Ad Hoc network has already become a kind of trend, and the clustering algorithm is the key. This article examines formula factors and their mutual relations of EWCA algorithm weights. After considering complex external environment of nodes, digging factors of network, it proposes an algorithm that calculates, sets and adjusts these weights by comparing weights, efficient-weights and expecting-weights, so as to fit for all kinds of application environment. The algorithm does not only guarantee the rational and effective weights, but also run in a human friendly.
引用
收藏
页码：469 / +
页数：2
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