An Algorithm for Distributed Beacon Selection
PERCOM '08 Proceedings of the 2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications
Experimental comparison of RSSI-based localization algorithms for indoor wireless sensor networks
Proceedings of the workshop on Real-world wireless sensor networks
Localization in Wireless Sensor Networks with Range Measurement Errors
AICT '09 Proceedings of the 2009 Fifth Advanced International Conference on Telecommunications
Indoor localization using improved RSS-based lateration methods
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
A dynamic system approach for radio location fingerprinting in wireless local area networks
IEEE Transactions on Communications
Cramér-Rao bound analysis of localization using signal strength difference as location fingerprint
INFOCOM'10 Proceedings of the 29th conference on Information communications
Time-Space Sampling and Mobile Device Calibration for WiFi Indoor Location Systems
IEEE Transactions on Mobile Computing
Principal Component Localization in Indoor WLAN Environments
IEEE Transactions on Mobile Computing
Relative location estimation in wireless sensor networks
IEEE Transactions on Signal Processing
Survey of Wireless Indoor Positioning Techniques and Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Robust indoor positioning using differential wi-fi access points
IEEE Transactions on Consumer Electronics
Hi-index | 0.00 |
Given the widespread deployment of IEEE 802.11-based access points APs, received signal strength RSS-based localisation algorithms, which estimate the location of clients by measuring RSS at the installed APs, have drawn considerable attention. However, the accuracy of RSS-based localisation depends heavily on the RF and geometry characteristics between the client and the APs. In order to improve the localisation accuracy, the selection of an appropriate AP set without outliers is an important and challenging issue. In this paper, we first propose to use Cramér-Rao Bound, obtained from the average Fisher Information Matrix, as a criterion for selecting an appropriate AP set. Then, based on the proposed selection criterion, we develop a batch beacon selection algorithm that searches all the possible AP sets. Furthermore, to implement real-time mobile client localisation by alleviating computational complexity, we devise an online beacon selection algorithm.