Location Estimation Considering Inside and Outside Wireless LAN Coverage Area

Abstract

In recent years, a lot of location estimation methods using wireless LAN signals have been proposed with the spread of wireless LANs. A location estimation by Fingerprint using Received Signal Strength Indicator (RSSI) is effective in terms of cost because it can be estimated by using existing infrastructures. However, it has a problem that the estimation accuracy is sensitive to environmental changes because RSSI values can be changed by doors opening/closing and a flow of people. For this problem, a location estimation method using coverage areas of APs was proposed. However, it does not make effective use of undetected APs. In this paper, we propose Location Estimation Considering Outside of Coverage Area (LECOCA). LECOCA intends to improve the location estimation accuracy by narrowing down the estimated location by using lists of undetected and detected APs. We implement and evaluate the LECOCA, and show its effectiveness.