Performance Improvement in Information Dissemination in VANET using Swarm Intelligence

For vehicular traffic and road safety, the most promising technology is VANET. VANET is the technology that provides the proper solution for controlling traffic. Swarm Intelligence is an interactive system to solve problems on communication, direction and distance under community. V2V communication is established in VANET. V2V communications are implemented for the safety on roads for the vehicles. In VANET, effective inter-vehicular communication is a challenge. VANETs are self-organizing communities containing cars, buses, trucks, small vehicles, traffic signals. The concept behind the swarming is, collision does not occur in between them and with proper communication. There are bee hives, ant colonies and bird flocks techniques, for improvement in time delay, packet delivery ratio and throughput. In this project, multiple swarm intelligence algorithms are going to be proposed to broadcast information in estimated range. The bee inspired, ant inspired and bird flocks inspired swarm intelligence algorithms manipulate communication for the vehicle to vehicle communication. Simulations will be conducted and results will be analyzed and to show the effectiveness of the algorithm and further it will be compared for better outcome. It will help to improve the performance of the V2V communication in VANET using interactive property of swarm intelligence.