Data Distribution Method for the IoT System NAMI

With the spread of coronavirus disease (COVID-19), office workers and school students have transitioned to online platforms for work and education, respectively. During this period, the importance of face-to-face human interactions has been highlighted. In response, in a prior study, I proposed an advanced system based on the harmony between human capabilities and information technology (IT) (SHONAN), which restricts the functions implemented by IT to a minimum and limits the range of data distribution to nearby users, preventing the unnecessary spread of data over the Internet. This system was developed as a potentially new sustainable IT system. Additionally, I had implemented a short-range message-exchange system called narrow area communication system (NAMI) as a specific application of SHONAN to implement crowd detection alerts to lower the risk of COVID-19 infection. In the current study, I propose a method to provide services to users while reducing the amount of transferred data by placing the original data on an edge server and processing the data on the cloud in a COVID-19 infection warning system. The proposed method was implemented as a prototype, and its effectiveness was experimentally verified.