面向智能巡检业务的移动边缘计算定价卸载技术研究

Research on Mobile Edge Computing Pricing and Offloading Technology for Intelligent Inspection Service

在电力物联网场景中,智能巡检设备在巡检过程中需要处理大量传感数据。巡检设备的电池容量和计算资源有限,会造成诸如故障定位时间长、事故处理响应慢等问题。为提高巡检设备的服务质量,文章考虑移动边缘计算(Mobile-Edge Computing,MEC)服务器为巡检设备提供计算服务,同时巡检设备可以采用设备到设备(Device-to-Device,D2D)通信方式来合作完成计算任务。考虑MEC服务器的计算能力,文章提出一种统一的资源定价方案,采用Stackelberg博弈来确定巡检设备的数据计算方案和MEC服务器的资源定价方案。仿真结果表明,与仅采用本地计算方案相比,文章提出方案可以减少巡检设备40%的计算时延,有效提高计算效率。

In the scenario of power Internet of things,the smart inspection device needs to process a large amount of sensing data during the inspection process.Due to the limited battery capacity and computing resources of the inspection device,it may cause some problems,such as long fault location time and slow response processing.In order to improve service quality of the inspection device,this paper uses the Mobileedge computing(MEC)server to provide computing services for inspection device and adopts device-todevice(D2D)communication mode to cooperate to complete the computing task.Considering the computing power of MEC server,a unified resource pricing scheme is proposed,and the stackelberg game is formulated to determine the data computing scheme of the inspection device and the resource pricing scheme of the MEC server.The simulation results show that the proposed scheme can effectively reduce computational delay of smart inspection device by 40%compared with only using local computing scheme.