An intelligent weighted clustering algorithm (IWCA) for Ad Hoc

Title: An intelligent weighted clustering algorithm (IWCA) for Ad Hoc
Creator: Guo, Xifeng; Zhao, Xiqing; Ren, Changming; Sun, Zhaohao
Date: 2009
Type: Text; Conference paper
Identifier: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/45284
Identifier: vital:5188
Identifier: https://doi.org/10.1109/WCSE.2009.352
Abstract: 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 algorithn that calculates, sets and adjusts these weights by comparing weights, efficent-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 manner.; E1
Publisher: Xiamen, China IEEE
Relation: 2009 WRI World Congress on Software Engineering
Rights: Copyright IEEE Computer Society
Rights: This metadata is freely available under a CCO license
Subject: Ad Hoc; Intelligent clustering algorithm; Weight
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