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

Abstract

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.