Fuzzy Cost Based Multipath Routing Protocol for MANETS

Routing is a challenging issue in MANET due to node mobility, unstable links and limited resources. Swarm Intelligence (SI), as demonstrated by social behavior of ant based on self organization, which allows exploiting to coordinate population of artificial ants the collaborative to solve computational problems. However already existing SI based routing protocols find a optimal path by considering one or two route selection metrics, such as time delay or node count. Conventional routing algorithm found to be unsuitable for routing multimedia traffic or real time applications which requires optimization of several qualities of service parameters. They are not considering correlations among multiple route selection parameters. In the proposal a approach called fuzzy ant colony based routing protocol using fuzzy logic and SI of different objectives while retaining the merits of swarm based intelligence algorithm. Simulation results show that great improvement for existing SI based routing protocols for routing in MANET.