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姓名: 高云全 |
职称: 讲师 |
E-Mail:gaoyunq@ahut.edu.cn |
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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:
2019年6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。现为安徽工业大学suncitygroup太阳新城官网讲师, 以第一作者身份在《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:TMC,IEEE 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, 2019,6(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)