Reliable Traffic and Mobility Aware Position based Vehicular Ad Hoc Network Routing using ACO

Abstract

Since from last decade, Vehicular Ad-hoc Networks (VANETs) gained that significant benefit of investigator due to emerging paradigms for several urban applications. The network topology of VANET is highly dynamic due to severe mobility of wireless connections, and further frequent leaving and joining of nodes. This results in the demanding research problem to discover and establish reliable data forwarding paths among the various communication entities in VANETs. To conquer such challenges of VANET applications, several routing methods introduced in recent years. The geographical i.e. position-based routing is a popular method to achieve more stable and efficient paths. The current position based routing methods failed to consider mobility speed of vehicle and traffic intensity at vehicle together to forward the vehicular traffic in VANETs. Within that paper, we express the difficulty of reliable data forwarding in highly dynamic VANETs using the Ant Colony Optimization (ACO) algorithm. This article proposed a novel position-based routing protocol called Efficient Mobility Aware VANET routing using ACO (EMAVA).  The EMAVA protocol focused on discovering the reliable paths to transfer the data of origin vehicle to target vehicle with minimum computation efforts and data loss by evaluating and selecting the forward ants based on vehicles key properties such as speed of vehicle, geographic distance of vehicle among the forwarding nodes, and fuzzy logic based bandwidth occupancy of vehicle. The trust score of each vehicle computed using these three parameters and nodes with the most powerful trust rate is selected as the subsequent forwarding ant in the path. Simulation returns show that introduced EMAVA increases the routing execution for different types of networks.