AODV Extension using Cuckoo Search and Support Vector Machine for Scalable Routing in VANETs

Vehicular Ad Hoc network (VANET) creates a network in which a number of vehicles are interconnected through wireless medium. The area of communication of every vehicle is defined with particular distance of approximately 100 m to 300 m. If any of the vehicles goes out of the coverage area, the vehicle came out from the network. The concept of internet over protocol is integrated as the use of internet is increases day by day. The problem on road such as traffic, heavy loads, accidents are becomes the main problem. For the transmission of data from one vehicle to another vehicles, vehicles used sensors that are implemented on board unit and thus with the help of internet the data is transferred. In this research, the network is also protected from the malicious node. As we know that the VANET is an unplanned network, which is formed by the moving vehicles on road and is designed to enhance road safety along with driving condition. In this research, a vehicular network is designed by using ‘N’ number of vehicles using a network area of dimension (1000*1000) height * width. A routing algorithm named as AODV (Ad hoc On-Demand Distance Vector) is used to form a route between source vehicle and destination vehicle. If the performance of the network is degraded it means that there is an occurrence of malicious node in the network. To provide security to the network CS (Cuckoo search) along with SVM (Support vector machine) is used to optimize the route and to detect the malicious vehicle. After finding malicious vehicle, the vehicle is removed from the network and the network is secure.