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面向智能巡检业务的移动边缘计算定价卸载技术研究
作者姓名:白杰  李志峰  白巍  王珏  张志佳  肖志国
作者单位:国网冀北电力有限公司唐山供电公司;全球能源互联网研究院有限公司
基金项目:国网冀北电力有限公司科技项目“基于电力无线专网智慧运检业务的研究及应用”(5201031801CS)。
摘    要: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(MobiIe-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(Devic...

关 键 词:电力物联网  移动边缘计算  D2D通信  stackeIberg博弈

Research on Mobile Edge Computing Pricing and Offloading Technology for Intelligent Inspection Service
Authors:BAI Jie  LI Zhifeng  BAI Wei  WANG Jue  ZHANG Zhijia  XIAO Zhiguo
Affiliation:(Tangshan Power Supply Company,State Grid Jibei Power Co.,Ltd.,Tangshan 063000,China;Global Energy Interconnection Research Institute Co.,Ltd.,Beijing 102209,China)
Abstract: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.
Keywords:power Internet of things  mobile edge computing  D2D communication  stackelberg game
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