Power-aware routing in mobile ad hoc networks
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
Algorithms for energy-efficient multicasting in static ad hoc wireless networks
Mobile Networks and Applications
Minimum-energy broadcast in all-wireless networks: NP-completeness and distribution issues
Proceedings of the 8th annual international conference on Mobile computing and networking
Power-Aware Localized Routing in Wireless Networks
IPDPS '00 Proceedings of the 14th International Symposium on Parallel and Distributed Processing
On Minimum-Energy Broadcasting in All-Wireless Networks
LCN '01 Proceedings of the 26th Annual IEEE Conference on Local Computer Networks
Guest Editorial Network Support for Multipoint Communication
IEEE Journal on Selected Areas in Communications
Multipoint communication: a survey of protocols, functions, and mechanisms
IEEE Journal on Selected Areas in Communications
The core-assisted mesh protocol
IEEE Journal on Selected Areas in Communications
Energy-aware multicasting in wireless ad hoc networks: A survey and discussion
Computer Communications
Bandwidth-guaranteed multicast in multi-channel multi-interface wireless mesh networks
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Minimum power multicasting in wireless networks under probabilistic node failures
Computational Optimization and Applications
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Energy conservation is a critical issue in wireless multihop ad-hoc networks, which have nodes powered by batteries only. One major metric for energy conservation is to route a communication session along the routes that require the lowest total energy consumption. To do this, we introduce in this paper a new concept called Virtual Relay. Based on this new concept, we present a constraint formulation for the minimum-energy multicast routing problem in terms of mixed integer linear programming. Experiment results show that in a typical multihop ad-hoc network with 50 nodes, the optimal solutions can always be solved in a timely manner, and it also provides a way to evaluate the realistic performance of different heuristic algorithms.