An Intelligent Approach to Optimize Link State Routing Protocol in Vehicular Ad-Hoc Network

Vehicular ad-hoc network (VANET) is one of the research areas of mobile ad-hoc network (MANET) with some limitations like road constraint, speed of vehicles , location, direction of vehicle, traffic conditions structure of highways etc. and the formation of VANET takes place by moving vehicles in particular direction. The advantages of VANET are several - road side assistance, safety of drivers, spreading of information regarding any miss-happening on the road etc. Spreading the message requires communication among running vehicles. Due to vehicle speed in network the communication system failure occur most of the time, this results data delivery failure in the network. Therefore, Routing of data packet in the VANETs are more challenging task. Each vehicle in VANET has onboard unit (OBU), which provides the necessary environment for communication among vehicles and the system has routing protocols for the dissemination of message packets between the vehicles. Performance of routing algorithm depends upon the parameter selection and selection of next-hop methods for further communication with other nodes in the network. In this paper we proposes the connectivity methods and routing algorithms which draws inspiration from Swarm Intelligence to obtain different parameters to improve data dissemination. Simulation results show that our protocol will perform better than the existing solutions in terms of data dissemination under the condition of the alternating network connectivity.