A Multi-Objective Data Dissemination Protocol for Intelligent Transportation Systems

To provide stable connections between vehicles and nearby roadside units, a reliable routing protocol is highly required in Vehicular Ad-hoc NETworks (VANETs). Though several routing protocols exist which are deliberate for MANETs and could be useful for VANETs as well, the results may not be satisfactory always in later case due to its sole characteristics. This work proposes a multi-objective heuristic algorithm, based on Ant Colony Optimization technique (ACO) to identify the optimal paths for Vehicular Ad-hoc Networks. To achieve this, it has measured different parameters like Signal to Noise Ratio, Throughput, End-to-End Delay Hop-count and Packet Loss. Based on the aforesaid constraints a calculated weight of the route is introduced to choose the finest route among every possible path. This route will in turn maximize the requirements in Intelligent Transportation System (ITS) to enhance safety in road, competence and travellers ease. The QualNet Network Simulator has been extensively used to evaluate the proposed protocol. The proposed method has been found to work satisfactorily with a number of test cases and considerably outperforms compare to the existing technique.