RAPID ESTABLISHMENT OF INDOOR WIFI POSITIONING DATABASE IN SHOPPING MALLS BASED ON WEARABLE NAVIGATION DEVICE (WEARTRACK)

Abstract. Position information is an important attribute in Internet-of-things (IoT) applications. WiFi fingerprinting has been frequently used in shopping malls due to its low cost and the capability to provide accurate localization results in indoor environments with significant multipath signal occlusion. However, the popularization of WiFi fingerprinting in shopping malls still faces a challenge, that is, the database needs to be collected and updated regularly. Therefore, establishing and updating the wireless positioning database efficiently and reliably is the key to the promotion of indoor positioning in shopping malls. In this paper, we use the team’s self-developed wearable navigation device (WearTrack) combined with post-processing to construct the database quickly and reliably. The procedure of database generation is organized and tested in a real shopping mall environment. Compared with the traditional database-generation method, the proposed method can improve the efficiency and maintain the robustness of database collection. Therefore, the method in this paper provides a feasible means for updating the positioning database in shopping malls.