SGedge: Stochastic Geometry-Based Model for Multi-Access Edge Computing in Wireless Sensor Networks

IEEE Access

Pierluigi Siano¹  Jia Liu²  Yuanfang Chen² 

[1] Department of Industrial Engineering, University of Salerno, Fisciano, Italy;School of Cyberspace, Hangzhou Dianzi University, Zhejiang, Hangzhou, China;

关键词: Latency performance;    communication latency;    computation latency;    multi-access edge computing (MEC);    wireless sensor access networks (WSANs);   

DOI  :  10.1109/ACCESS.2021.3103003

来源: DOAJ

【 摘 要 】

Multi-access edge computing (MEC) is used to provide low-latency computing services for users and offload computation-intensive tasks from users. The MEC network has two parts, a server and wireless sensor access networks, with the latter all independently connected to the server. In this study, the limited latency performance of a MEC network—namely, the communication and computation latency under coverage of the sensor access networks, as well as the stability of the server—is investigated. Moreover, referring to network constraints, the scaling laws are determined, which are for both communication and computation latency regarding network loads and resource parameters. The deduced scaling laws quantify the trade-offs between computing latency, network coverage, and stability.

【 授权许可】

Unknown