EBAC Algorithm for Real-Time Traffic Multicasting in Mobile Ad Hoc Networks

A mobile ad hoc network (MANET) is a collection of mobile wireless nodes that can dynamically form a network without using any pre-existing infrastructure. Due to characteristics such as temporary topology and absence of centralized authority, routing is one of the major issues in ad hoc networks. In mobile ad hoc networks, during real-time traffic multicasting there is increased energy consumption and delay. MANETs are highly dynamic because of frequent node movements, therefore network connectivity has to be maintained during multicast routing. To improve the QoS (quality of service) metrics including delay and bandwidth, the residual energy and available bandwidth have to be estimated accurately. Our objective is to reduce and balance the useful energy consumption for multicast algorithms maintaining good connectivity among all participating mobile nodes, and to maximize the lifetime of the networks. In order to overcome this issue, in this paper we propose to design an energy and bandwidth aware clustering (EBAC) algorithm for real-time traffic multicasting in mobile ad hoc networks. An efficient ENB cluster head selection algorithm based on the combination of important matrices residual energy (E), node connectivity (C), and available bandwidth (B) is used for the selection of the cluster head efficiently in mobile ad hoc networks. Using the cluster heads as group leaders and members as leaf nodes, a shortest-path multicast tree is established using the shortest-path multicast tree construction algorithm. This helps in transmitting multimedia data to different receivers. The multimedia traffic stream is split into multiple substreams prior to transmission using the Top-N rule selection approach algorithm. By simulation results, we show that that proposed technique alleviates the energy consumption and provides a high delivery ratio with reduced delay and jitter.