WACA clustering algorithm: Difference between revisions
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'''WACA''' is a [[clustering algorithm]] for dynamic networks.<ref>{{Cite journal|last=Brust|first=M. R.|last2=Andronache|first2=A.|last3=Rothkugel|first3=S.|date=2007-03-01|title=WACA: A Hierarchical Weighted Clustering Algorithm Optimized for Mobile Hybrid Networks|url=http://ieeexplore.ieee.org/document/4138128/|journal=Third International Conference on Wireless and Mobile Communications, 2007. ICWMC '07|pages=23–23|doi=10.1109/ICWMC.2007.93}}</ref><ref>{{Cite journal|last=Andronache|first=Adrian|last2=Brust|first2=Matthias R.|last3=Rothkugel|first3=Steffen|date=2006-01-01|title=Multimedia Content Distribution in Hybrid Wireless Networks Using Weighted Clustering|url=http://doi.acm.org/10.1145/1163698.1163700|journal=Proceedings of the 2Nd ACM International Workshop on Wireless Multimedia Networking and Performance Modeling|series=WMuNeP '06|location=New York, NY, USA|publisher=ACM|pages=1–10|doi=10.1145/1163698.1163700|isbn=1595934855}}</ref> 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. |
'''WACA''' is a [[clustering algorithm]] for dynamic networks.<ref>{{Cite journal|last=Brust|first=M. R.|last2=Andronache|first2=A.|last3=Rothkugel|first3=S.|date=2007-03-01|title=WACA: A Hierarchical Weighted Clustering Algorithm Optimized for Mobile Hybrid Networks|url=http://ieeexplore.ieee.org/document/4138128/|journal=Third International Conference on Wireless and Mobile Communications, 2007. ICWMC '07|pages=23–23|doi=10.1109/ICWMC.2007.93|arxiv=0706.1080}}</ref><ref>{{Cite journal|last=Andronache|first=Adrian|last2=Brust|first2=Matthias R.|last3=Rothkugel|first3=Steffen|date=2006-01-01|title=Multimedia Content Distribution in Hybrid Wireless Networks Using Weighted Clustering|url=http://doi.acm.org/10.1145/1163698.1163700|journal=Proceedings of the 2Nd ACM International Workshop on Wireless Multimedia Networking and Performance Modeling|series=WMuNeP '06|location=New York, NY, USA|publisher=ACM|pages=1–10|doi=10.1145/1163698.1163700|isbn=1595934855}}</ref> 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. |
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== References == |
== References == |
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Revision as of 14:18, 16 May 2018
 | 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: 23–23. arXiv:0706.1080. doi:10.1109/ICWMC.2007.93.
- ^ 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. doi:10.1145/1163698.1163700. ISBN 1595934855.