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WACA clustering algorithm - Revision history
2025-05-25T21:56:58Z
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<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br /></td>
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<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>'''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 <del style="font-weight: bold; text-decoration: none;">journal</del>|last1=Andronache|first1=Adrian|last2=Brust|first2=Matthias R.|last3=Rothkugel|first3=Steffen<del style="font-weight: bold; text-decoration: none;">|date=2006-01-01</del>|title=<del style="font-weight: bold; text-decoration: none;">Multimedia</del> <del style="font-weight: bold; text-decoration: none;">Content</del> <del style="font-weight: bold; text-decoration: none;">Distribution</del> <del style="font-weight: bold; text-decoration: none;">in</del> <del style="font-weight: bold; text-decoration: none;">Hybrid</del> <del style="font-weight: bold; text-decoration: none;">Wireless</del> <del style="font-weight: bold; text-decoration: none;">Networks</del> <del style="font-weight: bold; text-decoration: none;">Using</del> <del style="font-weight: bold; text-decoration: none;">Weighted</del> <del style="font-weight: bold; text-decoration: none;">Clustering|journal=Proceedings</del> <del style="font-weight: bold; text-decoration: none;">of</del> <del style="font-weight: bold; text-decoration: none;">the</del> <del style="font-weight: bold; text-decoration: none;">2nd</del> <del style="font-weight: bold; text-decoration: none;">ACM</del> <del style="font-weight: bold; text-decoration: none;">International</del> <del style="font-weight: bold; text-decoration: none;">Workshop</del> <del style="font-weight: bold; text-decoration: none;">on</del> <del style="font-weight: bold; text-decoration: none;">Wireless</del> <del style="font-weight: bold; text-decoration: none;">Multimedia</del> <del style="font-weight: bold; text-decoration: none;">Networking</del> <del style="font-weight: bold; text-decoration: none;">and</del> <del style="font-weight: bold; text-decoration: none;">Performance</del> <del style="font-weight: bold; text-decoration: none;">Modeling</del>|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.</div></td>
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<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>'''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 <ins style="font-weight: bold; text-decoration: none;">book</ins>|last1=Andronache|first1=Adrian|last2=Brust|first2=Matthias R.|last3=Rothkugel|first3=Steffen|title=<ins style="font-weight: bold; text-decoration: none;">Proceedings</ins> <ins style="font-weight: bold; text-decoration: none;">of</ins> <ins style="font-weight: bold; text-decoration: none;">the</ins> <ins style="font-weight: bold; text-decoration: none;">2nd</ins> <ins style="font-weight: bold; text-decoration: none;">ACM</ins> <ins style="font-weight: bold; text-decoration: none;">international</ins> <ins style="font-weight: bold; text-decoration: none;">workshop</ins> <ins style="font-weight: bold; text-decoration: none;">on</ins> <ins style="font-weight: bold; text-decoration: none;">Wireless</ins> <ins style="font-weight: bold; text-decoration: none;">multimedia</ins> <ins style="font-weight: bold; text-decoration: none;">networking</ins> <ins style="font-weight: bold; text-decoration: none;">and</ins> <ins style="font-weight: bold; text-decoration: none;">performance</ins> <ins style="font-weight: bold; text-decoration: none;">modeling</ins> <ins style="font-weight: bold; text-decoration: none;">|chapter=Multimedia</ins> <ins style="font-weight: bold; text-decoration: none;">content</ins> <ins style="font-weight: bold; text-decoration: none;">distribution</ins> <ins style="font-weight: bold; text-decoration: none;">in</ins> <ins style="font-weight: bold; text-decoration: none;">hybrid</ins> <ins style="font-weight: bold; text-decoration: none;">wireless</ins> <ins style="font-weight: bold; text-decoration: none;">networks</ins> <ins style="font-weight: bold; text-decoration: none;">using</ins> <ins style="font-weight: bold; text-decoration: none;">weighted clustering |date=2006-01-01</ins>|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.</div></td>
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Citation bot: Alter: title, template type. Add: chapter. Removed parameters. | Use this bot. Report bugs. | Suggested by Headbomb | Linked from Wikipedia:WikiProject_Academic_Journals/Journals_cited_by_Wikipedia/Sandbox2 | #UCB_webform_linked 2283/2384
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<p>Alter: title, template type. Add: chapter. Removed parameters. | <a href="/wiki/Wikipedia:UCB" class="mw-redirect" title="Wikipedia:UCB">Use this bot</a>. <a href="/wiki/Wikipedia:DBUG" class="mw-redirect" title="Wikipedia:DBUG">Report bugs</a>. | Suggested by Headbomb | Linked from Wikipedia:WikiProject_Academic_Journals/Journals_cited_by_Wikipedia/Sandbox2 | #UCB_webform_linked 2283/2384</p>
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<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br /></td>
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<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>'''WACA''' is a [[clustering algorithm]] for dynamic networks.<ref>{{Cite <del style="font-weight: bold; text-decoration: none;">journal</del>|last1=Brust|first1=M. R.|last2=Andronache|first2=A.|last3=Rothkugel|first3=S.|<del style="font-weight: bold; text-decoration: none;">date</del>=2007<del style="font-weight: bold; text-decoration: none;">-03-01</del>|<del style="font-weight: bold; text-decoration: none;">title</del>=WACA: A Hierarchical Weighted Clustering Algorithm Optimized for Mobile Hybrid Networks|<del style="font-weight: bold; text-decoration: none;">journal</del>=<del style="font-weight: bold; text-decoration: none;">Third International Conference on Wireless and Mobile Communications, </del>2007<del style="font-weight: bold; text-decoration: none;">. ICWMC '07</del>|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 journal|last1=Andronache|first1=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|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=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.</div></td>
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<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>'''WACA''' is a [[clustering algorithm]] for dynamic networks.<ref>{{Cite <ins style="font-weight: bold; text-decoration: none;">book</ins>|last1=Brust|first1=M. R.|last2=Andronache|first2=A.|last3=Rothkugel|first3=S.|<ins style="font-weight: bold; text-decoration: none;">title</ins>=2007<ins style="font-weight: bold; text-decoration: none;"> Third International Conference on Wireless and Mobile Communications (ICWMC'07) </ins>|<ins style="font-weight: bold; text-decoration: none;">chapter</ins>=WACA: A Hierarchical Weighted Clustering Algorithm Optimized for Mobile Hybrid Networks<ins style="font-weight: bold; text-decoration: none;"> </ins>|<ins style="font-weight: bold; text-decoration: none;">date</ins>=2007<ins style="font-weight: bold; text-decoration: none;">-03-01</ins>|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 journal|last1=Andronache|first1=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|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=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.</div></td>
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<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br /></td>
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<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>'''WACA''' is a [[clustering algorithm]] for dynamic networks.<ref>{{Cite journal|<del style="font-weight: bold; text-decoration: none;">last</del>=Brust|<del style="font-weight: bold; text-decoration: none;">first</del>=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|journal=Third International Conference on Wireless and Mobile Communications, 2007. ICWMC '07|pages=23|doi=10.1109/ICWMC.2007.93|arxiv=0706.1080|bibcode=2007arXiv0706.1080B|isbn=978-0-7695-2796-3}}</ref><ref>{{Cite journal|<del style="font-weight: bold; text-decoration: none;">last</del>=Andronache|<del style="font-weight: bold; text-decoration: none;">first</del>=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|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=978-1595934857|arxiv=0706.1141}}</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.</div></td>
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<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>'''WACA''' is a [[clustering algorithm]] for dynamic networks.<ref>{{Cite journal|<ins style="font-weight: bold; text-decoration: none;">last1</ins>=Brust|<ins style="font-weight: bold; text-decoration: none;">first1</ins>=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|journal=Third International Conference on Wireless and Mobile Communications, 2007. ICWMC '07|pages=23|doi=10.1109/ICWMC.2007.93|arxiv=0706.1080|bibcode=2007arXiv0706.1080B|isbn=978-0-7695-2796-3<ins style="font-weight: bold; text-decoration: none;">|s2cid=14065340 </ins>}}</ref><ref>{{Cite journal|<ins style="font-weight: bold; text-decoration: none;">last1</ins>=Andronache|<ins style="font-weight: bold; text-decoration: none;">first1</ins>=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|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=978-1595934857|arxiv=0706.1141<ins style="font-weight: bold; text-decoration: none;">|s2cid=3264865 </ins>}}</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.</div></td>
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<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>'''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|journal=Third International Conference on Wireless and Mobile Communications, 2007. ICWMC '07|pages=23|doi=10.1109/ICWMC.2007.93|arxiv=0706.1080|bibcode=2007arXiv0706.1080B|isbn=978-0-7695-2796-3}}</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|journal=Proceedings of the <del style="font-weight: bold; text-decoration: none;">2Nd</del> 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=978-1595934857|arxiv=0706.1141}}</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.</div></td>
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<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>'''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|journal=Third International Conference on Wireless and Mobile Communications, 2007. ICWMC '07|pages=23|doi=10.1109/ICWMC.2007.93|arxiv=0706.1080|bibcode=2007arXiv0706.1080B|isbn=978-0-7695-2796-3}}</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|journal=Proceedings of the <ins style="font-weight: bold; text-decoration: none;">2nd</ins> 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=978-1595934857|arxiv=0706.1141}}</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.</div></td>
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<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br /></td>
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<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>'''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<del style="font-weight: bold; text-decoration: none;">|url=https://ieeexplore.ieee.org/document/4138128/</del>|journal=Third International Conference on Wireless and Mobile Communications, 2007. ICWMC '07|pages=23|doi=10.1109/ICWMC.2007.93|arxiv=0706.1080|isbn=978-0-7695-2796-3}}</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|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=978-1595934857|arxiv=0706.1141}}</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.</div></td>
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<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>'''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|journal=Third International Conference on Wireless and Mobile Communications, 2007. ICWMC '07|pages=23|doi=10.1109/ICWMC.2007.93|arxiv=0706.1080<ins style="font-weight: bold; text-decoration: none;">|bibcode=2007arXiv0706.1080B</ins>|isbn=978-0-7695-2796-3}}</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|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=978-1595934857|arxiv=0706.1141}}</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.</div></td>
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<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br /></td>
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<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>'''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=<del style="font-weight: bold; text-decoration: none;">http</del>://ieeexplore.ieee.org/document/4138128/|journal=Third International Conference on Wireless and Mobile Communications, 2007. ICWMC '07|pages=23|doi=10.1109/ICWMC.2007.93|arxiv=0706.1080|isbn=978-0-7695-2796-3}}</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|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=978-1595934857|arxiv=0706.1141}}</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.</div></td>
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<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>'''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=<ins style="font-weight: bold; text-decoration: none;">https</ins>://ieeexplore.ieee.org/document/4138128/|journal=Third International Conference on Wireless and Mobile Communications, 2007. ICWMC '07|pages=23|doi=10.1109/ICWMC.2007.93|arxiv=0706.1080|isbn=978-0-7695-2796-3}}</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|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=978-1595934857|arxiv=0706.1141}}</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.</div></td>
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<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br /></td>
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<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>'''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=<del style="font-weight: bold; text-decoration: none;">23–23</del>|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<del style="font-weight: bold; text-decoration: none;">|url=http://doi.acm.org/10.1145/1163698.1163700</del>|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=<del style="font-weight: bold; text-decoration: none;">1595934855</del>|arxiv=0706.1141}}</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.</div></td>
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<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>'''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=<ins style="font-weight: bold; text-decoration: none;">23</ins>|doi=10.1109/ICWMC.2007.93|arxiv=0706.1080<ins style="font-weight: bold; text-decoration: none;">|isbn=978-0-7695-2796-3</ins>}}</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|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=<ins style="font-weight: bold; text-decoration: none;">978-1595934857</ins>|arxiv=0706.1141}}</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.</div></td>
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<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br /></td>
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<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>'''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.</div></td>
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<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>'''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<ins style="font-weight: bold; text-decoration: none;">|arxiv=0706.1141</ins>}}</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.</div></td>
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<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br /></td>
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<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>'''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.</div></td>
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<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>'''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<ins style="font-weight: bold; text-decoration: none;">|arxiv=0706.1080</ins>}}</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.</div></td>
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<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== References ==</div></td>
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