Ant Colony Algorithm Based Routing Protocol in Software Defined Vehicular Networks

Abstract

Aiming at the problem of low success rate of information transmission and poor network routing performance under urban dynamic traffic environment, this paper proposed an ant colony algorithm-based routing protocol in software defined vehicular networks (ACA-RP-SDVN). Firstly, the paper established a software defined vehicular network architecture under urban traffic environment. Then, the algorithm dispatched the forward ants to gradually explore the optimal neighbor nodes on the path so as to form a complete link from the source node to the destination node. At the same time, the backward ants were responsible for the update of the path pheromone. Besides, the method used the greedy algorithm to deliver data packets. Finally, the experiment results show that the proposed protocol outshines AODV and GPSR in terms of network routing lifetime, rate of routing change and communication performance