Computing offloading optimization scheme based on immune algorithm in edge computing scenes of internet of vehicles
In order to solve the problem of ensuring low energy consumption and load balancing of servers while reducing the computation latency of vehicle terminals,the system model,delay model,load model,energy consumption model and objective optimization model based on vehicle-to-vehicle communication were constructed in this paper.Then,a computational offloading scheme based on multi-objective immune optimization algorithm was proposed.Finally,this scheme was compared with several offloading scheme.Simulation experiments show that the proposed scheme can effectively reduce the average offloading delay of users,optimize the workload between servers,and reduce energy consumption.The performance of the proposed scheme has been improved compared to other schemes.
internet of vehiclesedge computingcomputing offloadingvehicle-to-vehicle communicationimmune algorithm
万方数据
维普
