Abstract
More focus of research is going on routing in VANET as there would be frequent path breaks due to its nodes high mobility. It is better to consider multipath routing instead of single path routing to have the uninterrupted transmission in the networks like VANET. This paper shows the design of an optimized multipath routing which is based on learning automata and leapfrog method (LA-MPRLF). Particle Swarm Optimization (PSO) method is utilized to determine the better available paths. Learning automata is used to determine the number of multiple paths that can be used for transmission. Leapfrog algorithm is used to predetermine the path breaks in the network. The projected graphs demonstrate that LA-MPRLF shows improved performance in comparison with legacy systems with respect to the QoS parameters — packet delivery ratio and throughput.
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