ISFF Based Optimal Route Selection and QoS Enhancement in VANETs

With vehicles becoming the primary mode of transportation in almost all parts of the world, it has now become increasingly essential to develop advanced realtime applications that provide users with safety and entertainment regardless of their geographical location by leveraging vehicular communication. The basic communication network structure for building an efficient communication among vehicles has been formed by Vehicular Ad-hoc Networks (VANET). As a subset of Mobile Ad-hoc Networks (MANETs), the recent innovations in Vehicular Ad-hoc Networks have revolutionized the Intelligent Transportation System (ITS) paradigm. On the other hand, due to high mobility, VANET lacks the ability to develop a stable topology, which in turn results in frequent network interruptions. Amongst all the existing challenges, this paper focuses on enhancing the Quality of Service [QoS] of the VANET architectures with an optimal route selection approach - ISFF [Intelligent Swarm based Firefly Fly]. When compared to other traditional approaches, the proposed approach will help the vehicles to obtain a decision on optimal routing path. The proposed approach was simulated based on Packet Delivery Ratio [PDR] and End-to-End Delay parameters and achieved an average PDR of 62.6% and End-to-End Delay of 171.4 sec, which is comparatively higher than the existing method.