摘要
物联网在设备中的应用导致了更多的网络交通堵塞,本地服务器无法满足大数据传输的需要。很难做到在大数据下的中央处理模式云计算。边缘计算的出现,将数据卸载到多个边缘服务器进行处理。卸载到服务器的数据需要通过信道,以前的信道选择方法是基站的统一分配。如果终端设备可以通过自己的学习选择信道,可以提高效率、减轻基站的负担。文章对此开展分析。
The use of the Internet of Things in devices leads to more network traffic jams. The local server cannot meet the needs of big data transmission. The central processing mode under big data is difficult to achieve cloud computing. The emergence of edge computing, offloading data to multiple edge servers for processing. Data unloaded to the server needs to go through channels. The previous channel selection method is the unified allocation of base stations. If the terminal device can choose the channel through its own learning, it can improve the efficiency and reduce the burden of the base station. This paper analyzes it.
作者
张孙烜
Zhang Sunxuan(School of Electrical and Electronic Engineering,North China Electric Power University,Beijing 102206,China)
出处
《无线互联科技》
2020年第5期115-116,共2页
Wireless Internet Technology
关键词
边缘计算
自我学习
信道选择
edge of computing
self-learning
channel selection