Based Mutation Chaos Particles Swarm Optimization of Vanet Performance in Qos Constraint
Jie Liu, Junyong Tang · 2022
Confronted of the complex urban environment, the basic safety message (BSM) broadcasted by safety applications can effectively prevent traffic accidents. Nevertheless, factors such as hidden terminals, concurrent transmission collisions, and path loss due to channel fading during transmission can affect the quality of service (QoS) for security applications. Under the premise of ensuring the safety application QoS requirements, this paper proposes a mutation chaos particles swarm optimization(MCPSO) algorithm to dynamically adjust the transmission parameters for maximizing the utilization of transmission capacity. The experimental results show that the transmission parameters optimized by the algorithm have better effects in the utilization of transmission channel resources and the reliability of security applications.