Multipoint communication: a survey of protocols, functions, and mechanisms
IEEE Journal on Selected Areas in Communications
Destination-driven routing for low-cost multicast
IEEE Journal on Selected Areas in Communications
Destination-driven on-demand multicast routing protocol for wireless ad hoc networks
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
A novel neural network method for shortest path tree computation
Applied Soft Computing
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Shortest Path Tree (SPT) is the most widely used type of tree for multicast provisioning due to its simplicity and low per-destination cost. An SPT minimizes the accumulated cost, individually, from the source of a group to each destination of the group. However, SPTs have not considered the overall resource utilization in their constructions. This work aims at building cost-effective SPTs by enhancing link sharing between destinations of a group. We achieve this goal by introducing destination-driven characteristic into SPT constructions. Specifically, each destination is connected with the source via a shortest path. When equal cost multiple paths are available, priority is given to the one biasing through a destination among all such routes. We accordingly present the design of an algorithm building destination-driven SPTs. To achieve further improved performance in resource utilization, we also present an algorithm, which is designed to further enhance link sharing among the destinations of a group while meeting a maximum path length constraint for each destination. Simulation results are used to demonstrate the high performance of the proposed algorithms.