边缘网络中QoS感知的应急多设备协同机制

QoS-based emergency multi-device coordination mechanism in edge network

随着物联网的快速发展,越来越多的设备连接到互联网中。云计算可以有效满足非实时和高计算量业务的需求,但在低延迟业务方面存在很大的问题。因此,研究人员引入边缘计算来弥补云计算的不足,并将这一理念应用于许多场景之中。文章将边缘计算应用于对延迟要求较高的应急救援场景。首先,提出了一种基于边缘的应急救援架构,该架构包括3层:云层,边缘层和设备接入层,救援任务的完成需要各层次之间的合作。设备接入层对应物理环境中的各项资源设备,包括救援人员、无线设备和救援车辆等,文章研究基于服务质量(Quality of Service, QoS)的复合业务多设备选择问题,提出了一种基于QoS的多设备协同选择机制(MDSA),并将其与传统的分配算法进行比较。仿真结果表明,MDSA在丢包和能耗等方面具有良好的性能。

With the rapid development of Internet of Things and wide acceptance of 4G/5G network, more and more devices are connected to the internet. In this environment, the cloud computing meets the critical challenges such as high latency and huge computing load. Therefore, researchers introduce the edge computing to make up the shortage of cloud computing and apply this idea to many scenarios. This paper applies the edge computing to emergency rescue which has a high requirement of latency. Firstly, we present an edge-based architecture for emergency rescue, the architecture includes three layers: cloud layer, edge layer and device access layer. And the completion of rescue task needs the cooperation between layers. Moreover, we list some necessary parts in every layer. And aiming at mobile emergency of device access layer, the performer of rescue task which includes rescuer, wireless devices and rescue vehicles, we research the QoS-oriented multi-devices selection problem for composite services. We introduce an algorithm(MDSA)and compare it with a traditional allocation algorithm. The simulation result shows MDSA has a good performance in the aspect such as packet loss and energy consumption.