VEHICLE REWARDING FOR VIDEO TRANSMISSION OVER VANETS USING REAL NEIGHBORHOOD AND RELATIVE VELOCITY (RNRV)

Video transmission is a critical issue in VANETs. The main problem is how to extend the lifetime of video streaming in order to overcome routing overhead in the high mobility environment of VANET highways using the concept of rewarding vehicles in reliable zones/clusters with the long lifetime. This paper conducts a novel model based on the assumption that the relative velocity should essentially affect the dynamic topology and network lifetime, especially in high mobility environment, which is a vital property of VANETs. In this paper, a mathematical model named Vehicle Rewarding for Video Transmission over VANETs Using Real Neighborhood and Relative Velocity (RNRV) has been developed to optimize video transmission by the concept of real neighborhood of the rewarded vehicle. The idea behind the proposed model is to maximize VANET lifetime and minimize routing overhead of the network using the concept of relative velocity of neighbors within the transmission range of a rewarded vehicle. The concept of real neighborhood introduced by the proposed model decreases the impact of high mobility in VANET highways because it maximizes the dynamic topology of a VANET zone/cluster, which, consequently, leads to better routing path and link durations. The proposed model has been implemented and examined using MATLAB. Results show that number of real neighbors is critically influenced by the factors of relative velocity and distance of vehicles within the transmission range of the rewarded vehicle.