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GeezerVison is showing en.wikipedia.org — WACA clustering algorithm - Wikipedia

This article provides insufficient context for those unfamiliar with the subject. Please help improve the article by providing more context for the reader. (October 2016) (Learn how and when to remove this message)

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

  1. ↑ Brust, M. R.; Andronache, A.; Rothkugel, S. (2007-03-01). "WACA: A Hierarchical Weighted Clustering Algorithm Optimized for Mobile Hybrid Networks". 2007 Third International Conference on Wireless and Mobile Communications (ICWMC'07). p. 23. arXiv:0706.1080. Bibcode:2007arXiv0706.1080B. doi:10.1109/ICWMC.2007.93. ISBN 978-0-7695-2796-3. S2CID 14065340.
  2. ↑ 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. pp. 1–10. arXiv:0706.1141. doi:10.1145/1163698.1163700. ISBN 978-1595934857. S2CID 3264865.


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