Abstract
This paper focuses on room access management based on the received signal strength indicator (RSSI) at two different points using two monitoring devices from smartphones. A server with a wireless LAN access point (AP) continuously sends an echo request packet to every smartphone connected to the AP, and the RSSI of the echo reply packet from the smartphones is monitored by two monitoring devices at two different points. The RSSI characteristics are that the RSSI becomes higher as the user approaches the monitoring devices and lower as the move away from them. Applying machine learning using the RSSI characteristics, we estimate the room access information of users concerning entering, staying in, or leaving the room. The proposed method does not require any special application software and user operations. Because the RSSI is monitored at two different points, our proposed method can handle various user behaviors. As a result, our proposed method achieves a high estimation accuracy of 94.44%.
