An invited talk co-organized by IEEE Muroran Institute of Technology will be held on January 25, 2023.

Time: 8: 45 – 10: 15 (JST), January 25, 2023.

Location: R205, Education & Research Building No. 8, Muroran Institute of Technology, 27-1 Mizumoto-cho, Muroran, Hokkaido, 0508585 Japan.

CO-ORGANIZED BY:

IEEE Muroran Institute of Technology Student Branch

IEEE Sapporo Section Young Professionals (YP)

Emerging Networks and Systems Laboratory (ENeS), Muroran Institute of Technology

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Topic: On Algorithm Designs for Wireless Power Transfer

Speaker: Kazuya Sakai, Associate Professor, Tokyo Metropolitan University, Japan

Abstract:

Wireless power transfer (WPT) is now a hot topic. In this talk, I am particularly interested in algorithm designs for WPT from the computer science standpoints. To be specific, I will address the problem of wireless charger allocation for mobile social networks, where power is wirelessly transferred among users with smart devices at opportunistic contact events. To this end, First, the similarities and differences between WPT and protocol designs for data communications are illuminated. Second, the problem is formulated including assumptions, network model, wireless charge model, the optimal solution, and challenges. Third, I will propose the weighted connectivity metric to define the shortest path as well as the adaptive wireless charger allocation (AWCA) algorithm. Finally, the performance evaluation by simulations using real human contact traces is discussed.

Biography:

Prof. Kazuya Sakai received his Ph.D. degree in Computer Science and Engineering from The Ohio State University in 2013. He is currently an associate professor at the Department of Electrical Engineering and Computer Science, Tokyo Metropolitan University. His research interests are in the area of information and network security, wireless and mobile computing, and distributed algorithms. He received the IEEE Computer Society Japan Chapter Young Author Award 2016. He is a member of the IEEE and ACM.

Contact:

Emerging Networks and Systems Laboratory (ENeS)

Email: [email protected]