Epidemic and transmission priority based data dissemination model in vehichular adhoc networks (VANETs)

Abstract

Vehicular Adhoc Networks (VANETs) is one of the prominent and most important technologies that have reached a milestone in today’s modern world. One of the important key functions of VANET is known to be data dissemination that attracted most researchers to deal the problem and technical aspects towards its development. As collective perception technique is used by VANETs for expanding the perceptual range for the road traffic by sharing the sensor data regarding the objects in region using Vehicle-to-Vehicle communication. However, hidden terminal problem and packet collision occurs due to high vehicle density which makes data dissemination more difficult to deliver its messages which contains sensor data. In this paper, the proposed Epidemic and Transmission Control Priority (ETCP) based data dissemination model is presented. The proposed technique is used for controlling the transmission frequency of the sensor data or messages to avoid collision and to find the infected number of vehicles which are affected by the message without network overload. Furthermore, the vehicles are selected automatically with high probability for broadcasting sensor data. The simulation results of proposed ETCP algorithm is compared with existing Epic and Condensation Based Forwarding (CBF) algorithms, where transmission delay is as low as 214 millisecond which is lower when compared to other existing models. Packet delivery ratio of the proposed model is 99.12% which is significantly higher when compared to other existing models. The performance evaluation shows that the proposed model can deliberately avoid collision accidents and minimize the overhead and delay by comparing with other existing techniques.