Wave performance analysis and enhancement for safety applications in vehicular networks

Vehicular ad hoc networks (VANETs) have become an active area of research, standardization, and development. The communication between vehicles will lead to more efficient and secured roads by providing information about traffic and road conditions to vehicle drivers. In this paper, we propose Markovian chain models to ensure the delivery of urgent safety message to the receiver, regardless of the buffer status by controlling the rate of the beacon messages in the control channel (CCH) according to 802.11 EDCA back off analysis. In the first Markov method, we control the rate of beacon message according to the buffer state to minimize the drop and delay of urgent message. In the second model, we compute the transmission probability of Access Category (AC) by modifying the contention window size with respect to buffer threshold. The third Markov method describes the probability of collision of AC. The simulations results prove that our proposed model performs better compared to the original IEEE 802.11p in terms of packet delivery ratio and throughput.