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Mobile ad-hoc network (MANET) is a dynamic collection of mobile computerswithout the need for any existing infrastructure. Nodes in a MANET act as hostsand routers. Designing of robust routing algorithms for MANETs is a challengingtask. Disjoint multipath routing protocols address this problem and increasethe reliability, security and lifetime of network. However, selecting anoptimal multipath is an NP-complete problem. In this paper, Hopfield neuralnetwork (HNN) which its parameters are optimized by particle swarm optimization(PSO) algorithm is proposed as multipath routing algorithm. Link expirationtime (LET) between each two nodes is used as the link reliability estimationmetric. This approach can find either node-disjoint or link-disjoint paths insingle phase route discovery. Simulation results confirm that PSO-HNN routingalgorithm has better performance as compared to backup path set selectionalgorithm (BPSA) in terms of the path set reliability and number of paths inthe set.

PSO-Optimized Hopfield Neural Network-Based Multipath Routing for Mobile Ad-hoc Networks