高云全


姓名 高云全

职称 讲师

E-Mail[email protected]

 

 

主要研究方向

物联网,可信计算,分布式计算,网络安全。

个人简介

20196月毕业于北京邮电大学计算机科学与技术专业, 获博士学位。现为二肖二码长期免费公开讲师, 第一作者身份在《IEEE Internet of Things》(中科院1区,TOP期刊)、《通信学报》、CCF-C类国际会议ACM MSWIM、《IEEE Access》发表论文数篇。

学术服务

国际期刊审稿人:TMCIEEE Access

所授课程

《计算机系统基础》、《MATLAB Programming

科研课题

安徽高校自然科学基金重点项目

代表性论著:

[1] 高云全,李小勇,方滨兴. 物联网搜索技术综述[J]. 通信学报,2015,36(12):57-76. EI检索期刊)

[2] Yunquan Gao, Xiaoyong Li, Jirui Li, Yali Gao. Distributed and Efficient Minimum-Latency Data Aggregation Scheduling for Multi-Channel Wireless Sensor Networks[J]. IEEE Internet of Things, 20196(5): 8482-8495.(SCI,中科院1区,IF 9.471)

[3] Yunquan Gao, Xiaoyong Li, Jirui Li, Yali Gao. Construction of Optimal Trees for Maximizing Aggregation Information in Deadline-and Energy-Constrained Unreliable Wireless Sensor Networks[J]. IEEE Access, 2018, 6: 27451-27464.SCI检索期刊,中科院2区,IF 3.3669

[4] Yunquan Gao, Xiaoyong Li, Jirui Li, Yali Gao. A Trustworthy Data Aggregation Model Based on Context and Data Density Correlation Degree[C]//Proceedings of the 21st ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems. ACM, 2018: 265-273.CCF C类会议,EI检索)

[5] Yali Gao, Xiaoyong Li, Jirui Li, Yunquan Gao, Philip S. Yu. Info-Trust: A Multi-Criteria and Adaptive Trustworthiness Calculation Mechanism for Information Sources[J]. IEEE Access, 2019,7: 13999-14012.SCI检索期刊,中科院2区,IF 3.3669