论文摘要
Under the situations of energy dilemma, energy Internet has become one of the most important technologies in international academic and industrial areas. However, massive small data from users, which are too scattered and unsuitable for compression, can easily exhaust computational resources and lower random access possibility, thereby reducing system performance. Moreover, electric substations are sensitive to transmission latency of user data, such as controlling information. However, the traditional energy Internet usually could not meet requirements. Integrating mobile-edge computing makes energy Internet convenient for data acquisition,processing, management, and accessing. In this paper, we propose a novel framework for energy Internet to improve random access possibility and reduce transmission latency. This framework utilizes the local area network to collect data from users and makes conducting data compression for energy Internet possible. Simulation results show that this architecture can enhance random access possibility by a large margin and reduce transmission latency without extra energy consumption overhead.
论文目录
文章来源
类型: 期刊论文
作者: Luning Liu,Xin Chen,Zhaoming Lu,Luhan Wang,Xiangming Wen
来源: Tsinghua Science and Technology 2019年03期
年度: 2019
分类: 工程科技Ⅱ辑,信息科技
专业: 动力工程,互联网技术
单位: the School of Information and Communication Engineering, Beijing University of Posts and Telecommunications
基金: supported by the Beijing Municipal Science and Technology Commission Research (No. Z171100005217001),the National Science and Technology Major Project (No. 2018ZX03001016),the Fundamental Research Funds for the Central Universities (No. 2018RC06),the National Key R&D Program of China (No. 2017YFC0112802),the Beijing Laboratory of Advanced Information Networks,the Beijing Key Laboratory of Network System Architecture and Convergence,the 111 project B17007
分类号: TK01;TP393.09
页码: 271-280
总页数: 10
文件大小: 3790K
下载量: 98
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