MONITORING DATA ANLYSIS and INCENTIVE MECHANISM

MONITORING DATA ANLYSIS INCENTIVE MECHANISM

What kind of research?

We are working on a paper that proposes a method for controlling network communication quality more flexibly and intelligently by utilizing data on the behavior of people and devices. For example, when people decide to wait a little longer before connecting in a crowded place, or when devices decide to wait until the communication quality improves before connecting, this behavior prevents congestion across the entire network and enables a more comfortable communication environment.By incorporating such user and device behavior into network control, we can build a new system that provides more efficient and stable communication than ever before.

In our research, we are designing and evaluating algorithms that automatically optimize communication methods and access point selection by collecting and analyzing location and behavior data of people and vehicles in real time in actual urban environments. We are also considering incentive designs that encourage cooperative behavior by users (e.g., temporarily refraining from connecting, moving, etc.). In this way, we aim to establish people-centered network control to realize a comfortable and sustainable communication environment throughout the city.