- 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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