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Special Issue on Deep Reinforcement Learning for Emerging IoT Systems
IEEE Internet of Things Journal ( IF 10.6 ) Pub Date : 2020-07-10 , DOI: 10.1109/jiot.2020.2998256
Jia Hu , Peng Liu , Hong Liu , Obinna Anya , Yan Zhang

Nowadays we are witnessing the formation of a massive Internet-of-Things (IoT) ecosystem that integrates a variety of wireless-enabled devices ranging from smartphones, wearables, and virtual reality facilities to sensors, drones, and connected vehicles. As IoT is penetrating every aspect of people’s life, work, and entertainment, an increasing number of IoT devices and the emerging IoT applications are driving exponential growth in wireless traffic in the foreseeable future. As a result, current IoT system architectures are facing significant challenges to handle millions of devices; thousands of servers; the transmission and processing of large volume of data, etc.

中文翻译:

新兴物联网系统深度强化学习专刊

如今,我们目睹了庞大的物联网(IoT)生态系统的形成,该生态系统集成了从智能手机,可穿戴设备和虚拟现实设施到传感器,无人机和联网车辆的各种无线设备。随着物联网渗透到人们生活,工作和娱乐的方方面面,越来越多的物联网设备和新兴的物联网应用将在可预见的未来推动无线流量的指数增长。结果,当前的物联网系统架构在处理数百万个设备时面临着巨大的挑战。数千台服务器;大量数据的传输和处理等
更新日期:2020-07-14
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