报告题目：On Removing Routing Protocol from Future Wireless Networks: A Real-time Deep Learning Approach for Intelligent Traffic Control
报告人：Nei Kato Professor
报告时间：2018年7月6日 周五 11:00-12:00
Recently, deep learning, an emerging machine learning technique, is garnering a lot of research attention in several computer science areas. However, to the best of our knowledge, its application to improve heterogeneous network traffic control which is an important and challenging area for IoT by its own merit has yet to appear because of the difficult challenge in characterizing the appropriate input and output patterns for a deep learning system to correctly reflect the highly dynamic nature of large-scale heterogeneous networks.
In this talk, an appropriate input and output characterizations of heterogeneous network traffic will be introduced and a supervised deep neural network system will be proposed. I will describe how our proposed system works and how it differs from traditional neural networks. Also, preliminary results will be discussed and I will demonstrate the encouraging performance of our proposed deep learning system compared to a benchmark routing strategy (Open Shortest Path First (OSPF)) in terms of significantly better signaling overhead, throughput, and delay. In addition, can a new intelligent traffic control system be designed without any benchmark training data, and can learn by itself to replace existing non-intelligent routing protocols? I will also address this issue by some of our preliminary results and look toward the future.
Nei Kato is a full professor (Deputy Dean) with Graduate School of Information Sciences (GSIS) and the Director of Research Organization of Electrical Communication(ROEC), Tohoku University, Japan.
He has been engaged in research on computer networking, wireless mobile communications, satellite communications, ad hoc & sensor & mesh networks, smart grid, IoT, Big Data, and pattern recognition. He has published more than 400 papers in prestigious peer-reviewed journals and conferences. His awards include Outstanding Service and Leadership Recognition Award 2016 from IEEE Communications Society Ad Hoc & Sensor Networks Technical Committee, Radio Achievements Award from Ministry of Internal Affairs and Communications, Japan (2016), IEEE Communications Society Asia-Pacific Outstanding Paper Award (2017), Prize for Science and Technology from the Minister of Education, Culture, Sports, Science and Technology, Japan (2018), Award from Tohoku Bureau of Telecommunications, Ministry of Internal Affairs and Communications, Japan (2018), and Best Paper Awards from IEEE ICC/GLOBECOM/WCNC/VTC. Nei Kato is a Distinguished Lecturer of IEEE Communications Society and Vehicular Technology Society. He is a fellow of IEEE and IEICE.