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WACA Clustering Algorithm: Simulation Run

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Uploaded by on Jun 3, 2008

This video shows a simulation run of the WACA clustering algorithm.

WACA, a weighted clustering algorithm is optimized to avoid needless clusterhead re-elections for stable clusters in mobile ad-hoc networks. The proposed localized algorithm deals with mobility, but does not require geographical, speed or distances information.

References:
Brust, M. R., A. Andronache, et al. (2007). WACA: A Hierarchical Weighted Clustering Algorithm optimized for Mobile Hybrid Networks. The Third International Conference on Wireless and Mobile Communications Guadeloupe, French Caribbean, IEEE Computer Society Press.

Andronache, A., M. R. Brust, et al. (2006). Multimedia Content Distribution in Hybrid Wireless using Weighted Clustering. 2nd ACM Workshop on Wireless Multimedia Networking and Performance Modeling, Malaga, Spain, ACM Press.

Links:
http://dx.doi.org/10.1145/1163698.1163700
http://aps.arxiv.org/abs/0706.1080v1
http://mocca.uni.lu/team/brust.html
(Author: Matthias R. Brust)

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