TY - GEN
T1 - A RSSI-based algorithm for indoor localization using ZigBee in wireless sensor network
AU - Chen, Yu Tso
AU - Yang, Chi Lu
AU - Chang, Yeim Kuan
AU - Chu, Chih Ping
PY - 2009/1/1
Y1 - 2009/1/1
N2 - For the various applications in home automation, the service system requires to precisely estimate user’s locations by certain sensors. It is considered as a challenge to automatically serve a mobile user in the house. However, indoor localization cannot be carried out effectively by the well-know Global Positioning System (GPS). In recent years, Wireless Sensor Networks (WSNs) are thus popularly used to locate a mobile object in an indoor environment. Some physical features are widely discussed to solve indoor localization in WSN. In this paper, we inquired about the RSSI solutions on indoor localization, and proposed a Closer Tracking Algorithm (CTA) to locate a mobile user in the house. The proposed CTA was implemented by using ZigBee CC2431 modules. The experimental results show that the proposed CTA can accurately determine the position with error distance less than 1 meter. At the same time, the proposed CTA has at least 85% precision when the distance is less than one meter.
AB - For the various applications in home automation, the service system requires to precisely estimate user’s locations by certain sensors. It is considered as a challenge to automatically serve a mobile user in the house. However, indoor localization cannot be carried out effectively by the well-know Global Positioning System (GPS). In recent years, Wireless Sensor Networks (WSNs) are thus popularly used to locate a mobile object in an indoor environment. Some physical features are widely discussed to solve indoor localization in WSN. In this paper, we inquired about the RSSI solutions on indoor localization, and proposed a Closer Tracking Algorithm (CTA) to locate a mobile user in the house. The proposed CTA was implemented by using ZigBee CC2431 modules. The experimental results show that the proposed CTA can accurately determine the position with error distance less than 1 meter. At the same time, the proposed CTA has at least 85% precision when the distance is less than one meter.
UR - https://www.scopus.com/pages/publications/84923879781
UR - https://www.scopus.com/pages/publications/84923879781#tab=citedBy
M3 - Conference contribution
AN - SCOPUS:84923879781
T3 - Proceedings: DMS 2009 - 15th International Conference on Distributed Multimedia Systems
SP - 70
EP - 75
BT - Proceedings
PB - Knowledge Systems Institute Graduate School
T2 - 15th International Conference on Distributed Multimedia Systems, DMS 2008
Y2 - 10 September 2009 through 12 September 2009
ER -