在物联网中部署边缘计算节点:基于用户位置的模拟退火法的有效实施

Junhui Zhao, Ziyang Zhang, Zhenghao Yi, Xiaoting Ma, Qingmiao Zhang
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引用次数: 0

摘要

5G 架构的边缘计算模式被认为是实现低延迟和高可靠性通信的最有效方法之一,它将计算任务和网络资源带到了网络边缘。边缘计算节点的部署是影响边缘计算系统服务性能的关键因素。本文提出了一种基于用户位置的边缘计算节点部署方法。通过结合城市移动仿真(SUMO)和网络仿真器-3(NS-3),建立了一个仿真平台,生成物联网场景中热点区域的数据。通过有效利用物联网场景中用户间通信产生的数据,可以获得用户终端的位置区域。在此基础上,部署问题被表述为一个混合整数线性问题,可通过模拟退火(SA)方法求解。结果分析表明,与传统方法相比,所提出的方法收敛速度更快,性能更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Deployment of edge computing nodes in IoT: Effective implementation of simulated annealing method based on user location
Edge computing paradigm for 5G architecture has been considered as one of the most effective ways to realize low latency and highly reliable communication, which brings computing tasks and network resources to the edge of network. The deployment of edge computing nodes is a key factor affecting the service performance of edge computing systems. In this paper, we propose a method for deploying edge computing nodes based on user location. Through the combination of Simulation of Urban Mobility (SUMO) and Network Simulator-3 (NS-3), a simulation platform is built to generate data of hotspot areas in IoT scenario. By effectively using the data generated by the communication between users in IoT scenario, the location area of the user terminal can be obtained. On this basis, the deployment problem is expressed as a mixed integer linear problem, which can be solved by Simulated Annealing (SA) method. The analysis of the results shows that, compared with the traditional method, the proposed method has faster convergence speed and better performance.
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