WACA clustering algorithm: Difference between revisions
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'''WACA''' is a [[clustering algorithm]] for dynamic networks.<ref>{{Cite book|last1=Brust|first1=M. R.|last2=Andronache|first2=A.|last3=Rothkugel|first3=S.|title=2007 Third International Conference on Wireless and Mobile Communications (ICWMC'07) |chapter=WACA: A Hierarchical Weighted Clustering Algorithm Optimized for Mobile Hybrid Networks |date=2007-03-01|pages=23|doi=10.1109/ICWMC.2007.93|arxiv=0706.1080|bibcode=2007arXiv0706.1080B|isbn=978-0-7695-2796-3|s2cid=14065340 }}</ref><ref>{{Cite |
'''WACA''' is a [[clustering algorithm]] for dynamic networks.<ref>{{Cite book|last1=Brust|first1=M. R.|last2=Andronache|first2=A.|last3=Rothkugel|first3=S.|title=2007 Third International Conference on Wireless and Mobile Communications (ICWMC'07) |chapter=WACA: A Hierarchical Weighted Clustering Algorithm Optimized for Mobile Hybrid Networks |date=2007-03-01|pages=23|doi=10.1109/ICWMC.2007.93|arxiv=0706.1080|bibcode=2007arXiv0706.1080B|isbn=978-0-7695-2796-3|s2cid=14065340 }}</ref><ref>{{Cite book|last1=Andronache|first1=Adrian|last2=Brust|first2=Matthias R.|last3=Rothkugel|first3=Steffen|title=Proceedings of the 2nd ACM international workshop on Wireless multimedia networking and performance modeling |chapter=Multimedia content distribution in hybrid wireless networks using weighted clustering |date=2006-01-01|series=WMuNeP '06|location=New York, NY, USA|publisher=ACM|pages=1–10|doi=10.1145/1163698.1163700|isbn=978-1595934857|arxiv=0706.1141|s2cid=3264865 }}</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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Latest revision as of 18:18, 9 August 2023
 | 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
[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.