A Cross Layer Cluster Based Routing Approach for Efficient Multimedia Data Dissemination with Improved Reliability in VANETs

Abstract

Vehicular ad-hoc network (VANET) is a self-configuring decentralized dynamic network connects the vehicles through wireless links. Hence during the life time of vehicles, VANET may experience frequent link breaks, demands an efficient routing mechanism for networking of data packets among high speed vehicles with less delay. In this paper based on, cross layer autonomous route recovery (CLARR) mechanism, a new cross layer cluster based routing (CCBR) protocol is proposed. The major objective is to set up stable clusters to improve the routing path lifetime by decreasing the link breaks for better multimedia data dissemination. This is achieved by introducing clustering concept into the existing CLARR using mobility metric, then finding reliable relay vehicles to the destination by measuring relative distances among them. Performance of proposed scheme is evaluated through simulation experiments using network simulator-2.34 for different vehicle velocities and compared with existing cross layer based on demand routing protocol, CLARR. Simulation results indicate that the proposed CCBR routing algorithm outperforms over existing CLARR in terms of throughput, energy consumption per vehicle and reliability. Additionally, due to improved reliability, overall delay is reduced to 60% in proposed CCBR for different vehicle velocity and density.