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Conference Paper: Maximizing broadcast load in multi-channel Multi-interface wireless mesh networks

TitleMaximizing broadcast load in multi-channel Multi-interface wireless mesh networks
Authors
KeywordsBroadcast tree
Multiple channels
Multiple interfaces
Wireless mesh network
Issue Date2008
Citation
Globecom - Ieee Global Telecommunications Conference, 2008, p. 533-537 How to Cite?
AbstractWith the enhancement in channel bandwidth and mobile devices, more broadcast applications will be deployed in the wireless mesh networks (WMNs). While traditional approaches focus on finding a single broadcast tree in the network, we aim at maximizing the number of broadcast trees/calls that can be carried. In this paper, we first formulate an Integer Linear Program (ILP) for solving the minimum-channel-utilization broadcast tree problem in multi-channel multi-interface WMNs. In our ILP, channel assignment, routing, and scheduling are jointly considered for finding a broadcast tree that can minimize the maximum channel utilization. Intuitively, this balances all the accepted traffic load in the network, which in turn maximizes the chance of accepting future calls. However, solving ILP usually takes time and is less suitable for a system with real-time call arrival. An efficient heuristic algorithm is then designed. Our simulation results show that the proposed heuristic gives real-time response and provides comparable good performance as the ILP approach. © 2008 IEEE.
DescriptionGLOBECOM 2008
Persistent Identifierhttp://hdl.handle.net/10722/62048
References

 

DC FieldValueLanguage
dc.contributor.authorChiu, HSen_HK
dc.contributor.authorYeung, KLen_HK
dc.contributor.authorLui, KSen_HK
dc.date.accessioned2010-07-13T03:52:49Z-
dc.date.available2010-07-13T03:52:49Z-
dc.date.issued2008en_HK
dc.identifier.citationGlobecom - Ieee Global Telecommunications Conference, 2008, p. 533-537en_HK
dc.identifier.urihttp://hdl.handle.net/10722/62048-
dc.descriptionGLOBECOM 2008en_HK
dc.description.abstractWith the enhancement in channel bandwidth and mobile devices, more broadcast applications will be deployed in the wireless mesh networks (WMNs). While traditional approaches focus on finding a single broadcast tree in the network, we aim at maximizing the number of broadcast trees/calls that can be carried. In this paper, we first formulate an Integer Linear Program (ILP) for solving the minimum-channel-utilization broadcast tree problem in multi-channel multi-interface WMNs. In our ILP, channel assignment, routing, and scheduling are jointly considered for finding a broadcast tree that can minimize the maximum channel utilization. Intuitively, this balances all the accepted traffic load in the network, which in turn maximizes the chance of accepting future calls. However, solving ILP usually takes time and is less suitable for a system with real-time call arrival. An efficient heuristic algorithm is then designed. Our simulation results show that the proposed heuristic gives real-time response and provides comparable good performance as the ILP approach. © 2008 IEEE.en_HK
dc.languageengen_HK
dc.relation.ispartofGLOBECOM - IEEE Global Telecommunications Conferenceen_HK
dc.subjectBroadcast treeen_HK
dc.subjectMultiple channelsen_HK
dc.subjectMultiple interfacesen_HK
dc.subjectWireless mesh networken_HK
dc.titleMaximizing broadcast load in multi-channel Multi-interface wireless mesh networksen_HK
dc.typeConference_Paperen_HK
dc.identifier.emailYeung, KL:kyeung@eee.hku.hken_HK
dc.identifier.emailLui, KS:kslui@eee.hku.hken_HK
dc.identifier.authorityYeung, KL=rp00204en_HK
dc.identifier.authorityLui, KS=rp00188en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/GLOCOM.2008.ECP.109en_HK
dc.identifier.scopuseid_2-s2.0-67249084810en_HK
dc.identifier.hkuros150315en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-67249084810&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage533en_HK
dc.identifier.epage537en_HK
dc.identifier.scopusauthoridChiu, HS=7401986712en_HK
dc.identifier.scopusauthoridYeung, KL=7202424908en_HK
dc.identifier.scopusauthoridLui, KS=7103390016en_HK

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