WACA clustering algorithm: Difference between revisions
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Revision as of 13:56, 15 December 2021
 | This article provides insufficient context for those unfamiliar with the subject. (October 2016) |
WACA is a clustering algorithm for dynamic networks.[1][2] WACA (Weighted Application-aware Clustering Algorithm) uses a heuristic weight function for self-organized cluster creation. The election of clusterheads is based on local network information only.
References
- ^ Brust, M. R.; Andronache, A.; Rothkugel, S. (2007-03-01). "WACA: A Hierarchical Weighted Clustering Algorithm Optimized for Mobile Hybrid Networks". Third International Conference on Wireless and Mobile Communications, 2007. ICWMC '07: 23. arXiv:0706.1080. Bibcode:2007arXiv0706.1080B. doi:10.1109/ICWMC.2007.93. ISBN 978-0-7695-2796-3.
- ^ Andronache, Adrian; Brust, Matthias R.; Rothkugel, Steffen (2006-01-01). "Multimedia Content Distribution in Hybrid Wireless Networks Using Weighted Clustering". Proceedings of the 2Nd ACM International Workshop on Wireless Multimedia Networking and Performance Modeling. WMuNeP '06. New York, NY, USA: ACM: 1–10. arXiv:0706.1141. doi:10.1145/1163698.1163700. ISBN 978-1595934857.