Fuzzy-based trusted ant routing (FTAR) protocol in mobile ad hoc networks
MIWAI'11 Proceedings of the 5th international conference on Multi-Disciplinary Trends in Artificial Intelligence
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Routing is a challenging task in Mobile AdHoc Network due to nodal mobility, unstable links and limited resources. Swarm intelligence, as demonstrated by biological swarm, such as ant colony has found to be a attractive technique for routing in MANET. However existing swarm intelligence based routing protocols find an optimal path by considering only one or two route selection metrics, such as hop count or time delay making them unsuitable for routing multimedia traffic or real time applications which require optimization of several QOS parameters. Also they don’t consider correlations among multiple route selectionparameters. This paper proposes a novel approach called fuzzy ant colony based routing protocol (FACO) using fuzzy logic and swarm intelligence to select optimal path by considering optimization of multiple objectives while retaining the advantages of swarm based intelligence algorithm. Simulation results show that the proposed protocol is superior over existing swarm intelligence based routing protocols for routing in MANET.