基于车联网和移动边缘计算的时延可容忍数据传输

以物联网和车联网为代表的智慧城市的快速发展,使网络中的数据传输与数据计算面临巨大挑战,网络资源的分配也越来越受到广泛关注,为此提出了一种基于移动边缘计算的新型网络架构,通过整合物联网与车联网,用以传输时延可容忍数据及处理数据计算任务.由于在同一网络架构下,需要融合多种网络标准和协议,基于可编程控制原理的软件定义网络技术被应用于所提网络架构中.此外,时延可容忍数据在软件定义的车联网中的传输与计算节点选择过程可建模为部分可观测马尔科夫决策过程,从而优化并获得最小化系统开销,包括最小网络开销和最短数据计算处理时间.仿真结果表明,与已有方案相比,所提方法可以有效地降低系统开销,缩短数据计算执行时间,提升数据计算效率,且在传输时延允许条件下,保证时延可容忍数据的传输到达率.

Delay-tolerant Data Traffic Based on Connected Vehicle Network and Mobile Edge Computing

With the explosion in the number of Internet of things (IoT) and connected vehicle networks in smart city,the challenges to meet the demands from both data traffic delivery and data computing are increasingly prominent, and the allocation of network resources has attracted great attention. A novel network architecture based on mobile edge computing (MEC) was proposed in this paper to incorporate connected vehicle networks and IoT networks to transmit the delay-tolerant data and execute the computing tasks. In order to integrate diverse and complex standards and protocols in the same network, the programmable control principle originated from software-define networking (SDN) paradigm was introduced. Moreover, the process of delay-tolerant data transmission and computing node selection in software-defined vehicle network was formulated as a partially observable Markov decision process (POMDP) to minimize the system cost,which consists of both the network overhead and execution time of computing tasks. Simulation results show that the system cost can be decreased efficiently compared with the existing schemes, the processing time of computing tasks can be shorten and the computing efficiency can be improved. Furthermore, the arrival rate of delay-tolerant data can also be ensured within the delay requirements.