Quality-of-Service based Reliable Route Discovery using Ant Colony Optimization for VANET

Vehicular ad-hoc network (VANET) is an emerging technology for intelligent transportation system giving rise to numerous applications for safety and non safety purposes. In VANET, vehicles are the dynamic node that establishes communication with other vehicles that are found within its transmission range via wireless technology. However, a highly effective routing protocol is the most challenging subject for VANET, because of its special characteristics such as: large network size, frequent disconnection, rapid changing topology etc. In this work, Ant-colony-optimization technique (ACO) is utilized to discover all possible routes through which data packets can be forwarded. To achieve a reliable communication, among those route the best route is selected that satisfy the QoS constraints in the form of stability and delay. The results depict that the proposed algorithm performs efficiently for dense environment. With reference to other existing protocols, RDACO proves to be more effective in terms of packet delivery ratio (PDR) and delay.