基于移动边缘计算的车联网缓存策略研究

Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2020-09-28 Cooperative journals: 《计算机应用研究》

刘可欣 陈桂芬

Abstract： To solve the problem of high service response delay caused by explosive growth of data traffic in the Internet of vehicles, this paper proposed an Ant Colony Simulated Annealing algorithm cache strategy based on Mobile edge computing(ACSAM) . Firstly, under the 5G based " vehicle-edge-cloud " collaborative system architecture, established a communication computing model to minimize the content download delay; secondly, used the Ant Colony Optimization to construct a local optimal solution to minimize the content download delay; finally, used the search ability of the Simulated Annealing algorithm to disturb the local optimal solution and accept the new solution with a certain probability, thereby obtained the global optimal solution and improved cache hit rate. Simulation results show that under the vehicle-edge-cloud collaborative architecture, the ACSAM cache strategy can significantly reduce transmission redundancy and reduce download latency.

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