A QoS guarantee mechanism based on multi- priority bionic competition model in vehicular edge etwork

With the development of the Internet of Things, more and more devices can access the network through wireless access. And the wireless access of vehicles, which constitutes an edge network, can provide real-time road information and significant traffic state. Thus, it has gradually got the public attention. In order to offer the better quality of service (QoS) in the vehicular network, we propose a multi-priority bionic competition mechanism to implement service differentiation and resource allocation. Firstly, we deduce a context metric (CM) through fuzzy inference, which relates the urgency degree of a vehicle to its environment. Vehicle traffic is re-prioritized into four access categories (ACs) combined with the CM and transmission data types. Then, we propose the bionic competition model based on 802.11e EDCA protocol. This model considers the competition in the same level ACs and the competition among different level ACs, allocates different transmission rate and bandwidth for different ACs, which greatly improve the network throughput and bandwidth utilization. Finally, the simulation results show that our method improves the throughput, reduces the mean delay and packet loss rate.