Hybrid routing scheme using imperialist competitive algorithm and RBF neural networks for VANETs

摘要

Vehicular ad hoc network (VANET), a special type of mobile ad-hoc networks (MANETs), is characterized by a very high mobility. Due to the dynamic nature of vehicle nodes and unstable wireless links, the design of an efficient and effective routing scheme is serious challenging for VANETs. Thus, proposing a reliable routing protocol for important data dissemination is essential for VANETs. In this paper, a clustering-based routing protocol is introduced where nodes are clustered according to movement information such as node degree and velocity of vehicles by means of imperialist competitive algorithm. Then, the cluster head is selected by means of radial basis function neural network algorithm according to amount of free buffer space and expected transmission count. Simulation results indicated that the proposed scheme improves the other related algorithms in terms of the parameters of packet delivery rate, throughput and end-to-end delay.