Energy-efficient broadcast and multicast trees in wireless networks
Mobile Networks and Applications
Energy-efficient broadcast and multicast trees in wireless networks
Mobile Networks and Applications
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Proceedings of the 9th annual international conference on Mobile computing and networking
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ICDCS '06 Proceedings of the 26th IEEE International Conference on Distributed Computing Systems
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WASA '07 Proceedings of the International Conference on Wireless Algorithms,Systems and Applications
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WOWMOM '08 Proceedings of the 2008 International Symposium on a World of Wireless, Mobile and Multimedia Networks
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WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
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IEEE Communications Magazine
IEEE Journal on Selected Areas in Communications
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Multiple Tree Video Multicast Over Wireless Ad Hoc Networks
IEEE Transactions on Circuits and Systems for Video Technology
Wireless Personal Communications: An International Journal
Computers and Electrical Engineering
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In this paper, we consider the problem of constructing bandwidth-guaranteed multicast tree in multi-channel multiinterface wireless mesh networks. We focus on the scenario of dynamic multicast call arrival, where each call has a specific bandwidth requirement. A call is accepted if a multicast tree with sufficient bandwidth on each link can be constructed. Intuitively, if the carried load on both the most-heavily loaded channel and the most-heavily loaded node is minimized, the traffic load in the network will be balanced. If the network load is balanced, more room will be available for accommodating future calls. This would maximize the call acceptance rate in the network. With the above notion of load balancing in mind, an Integer Linear Programming (ILP) formulation is formulated for constructing bandwidth-guaranteed tree. We show that the above problem is NP-hard, and an efficient heuristic algorithm called Largest Coverage Shortest-Path First (LC-SPF) is devised. Simulation results show that LC-SPF yields comparable call acceptance rate as the ILP formulation, but with much shorter running time.