Abstract
In this paper, an intellectual energy efficient multicast routing protocol is proposed. It achieves enhanced performance over On-Demand Multicast Routing Protocol (ODMRP). The proposed protocol finds energy efficient multicast routes from source node to a group of receivers. Multicast mesh creation involves two phases: a Join Query (J-Q) phase and a Join Reply (J-R) phase. The J-Q phase initiates a route discovery process to find routes of the multicast group. In J-R phase, different routes of the multicast groups are set up. In the proposed protocol, we modify ODMRP and introduce fuzzy inference system to deal with imprecise and partial information during the route discovery phase. The decision maker uses two fuzzy variables such as energy and distance for evaluating reward as an output parameter of each multicast route. This output parameter helps to distinguish different multicast route and it also helps to reduce the effect of mutual interference between routes. The proposed protocol is simulated using the NS-2 simulator. The performance of the proposed protocol is compared with existing multicast routing protocols, and results outperform existing protocols in terms of several network metrics.
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