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个人信息Personal Information
正高级实验师
性别：男
毕业院校：大连理工大学
学位：博士
所在单位：软件学院、国际信息与软件学院
学科：计算机应用技术. 通信与信息系统
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- [1]Yue, Wenlong.王雷,Jin, Cheng,Liu, Xiaokang,朱明,覃振权,Chen, Canfeng.A Green Solution for Intelligent Metropolitan Heating System with uSDCards[A],IEEE International Conference on Communications (ICC),2022:213-217
- [2]Pang C..王雷,Xu J.,覃振权,朱明.A fast handoff mechanism with pre-scanning for wireless mesh networks[A],2011 7th International Conference on Mobile Ad-hoc and Sensor Networks, MSN 2011,2022:345-346
- [3]Ma C..王雷,Xu J.,覃振权,朱明,Shu L..A geographic routing algorithm in duty-cycled sensor networks with mobile sinks[A],2011 7th International Conference on Mobile Ad-hoc and Sensor Networks, MSN 2011,2022:343-344
- [4]金仁成.徐浩,蔡永,Hua, Zongzhi,朱明,王立鼎.A localisation algorithm based on region partition of cellular network in wireless sensor networks[J],International Journal of Sensor Networks,2022,20(2):63-69
- [5]王雷.卢炳先,林驰,罗钟铉,覃振权,朱明.A Link Scheduling Algorithm for Underwater Optical Wireless Networks[A],IFIP Networking Conference (Networking),2022:827-832
- [6]朱明.Zeng, Zhicheng,王雷,覃振权,Pan, An,Zhang, Yuanyuan,Shu, Lei.A Measurement Study of a Campus Wi-Fi Network with Mixed Handheld and Non-handheld Traffic[A],IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE),2022,2015-June(June):848-853
- [7]Xu J..王雷,李映夏,覃振权,朱明.An experimental study of BATMAN performance in a campus deployment of wireless mesh networks[A],2011 7th International Conference on Mobile Ad-hoc and Sensor Networks, MSN 2011,2022:341-342
- [8]Tang, Zhaoshu.朱明,王雷,马洪连.A Novel Link Scheduling Algorithm for Wireless Networks using Directional Antenna[A],IEEE Wireless Communications and Networking Conference (WCNC),2022,2016-September
- [9]Zhu Sanfeng.金乃高,王雷,Zheng Xueshu,Yang Shuailing,朱明.A Novel Dual-Hydrophone Localization Method in Underwater Sensor Networks[A],IEEE/OES China Ocean Acoustics (COA),2022
- [10]Li, Di.Tian, Feng,朱明,王雷.孙亮.A Novel Framework for Analysis of Global Network Neutrality Based on Packet Loss Rate[A],International Conference on Cloud Computing and Big Data,2022:297-304