WACA clustering algorithm

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[edit]

^ 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.
^ 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.

[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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