WACA clustering algorithm

{{Short description|Algorithm}}

{{context|date=October 2016}}

WACA is a clustering algorithm for dynamic networks.{{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 }}{{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 }} 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.