Robotics-based location sensing using wireless ethernet
Proceedings of the 8th annual international conference on Mobile computing and networking
WLAN Location Determination via Clustering and Probability Distributions
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
Practical robust localization over large-scale 802.11 wireless networks
Proceedings of the 10th annual international conference on Mobile computing and networking
The Horus WLAN location determination system
Proceedings of the 3rd international conference on Mobile systems, applications, and services
COMPASS: A probabilistic indoor positioning system based on 802.11 and digital compasses
WiNTECH '06 Proceedings of the 1st international workshop on Wireless network testbeds, experimental evaluation & characterization
A measurement study of vehicular internet access using in situ Wi-Fi networks
Proceedings of the 12th annual international conference on Mobile computing and networking
Overhearing the Wireless Interface for 802.11-Based Positioning Systems
PERCOM '07 Proceedings of the Fifth IEEE International Conference on Pervasive Computing and Communications
Loc{lib,trace,eva,ana}: research tools for 802.11-based positioning systems
Proceedings of the second ACM international workshop on Wireless network testbeds, experimental evaluation and characterization
Place lab: device positioning using radio beacons in the wild
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
Proceedings of the first ACM international workshop on Mobile entity localization and tracking in GPS-less environments
Error Estimation for Indoor 802.11 Location Fingerprinting
LoCA '09 Proceedings of the 4th International Symposium on Location and Context Awareness
Tutorial on location determination by RF means
MELT'09 Proceedings of the 2nd international conference on Mobile entity localization and tracking in GPS-less environments
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Indoor positioning systems based on 802.11 and fingerprints offer reasonably low position errors. We study the deployment, calibration, and measurement factors for position errors by systematically investigating (1) the number of access points, (2) the number of samples in the training phase, (3) the number of samples in the position determination phase, and (4) the setup of the grid of reference points. Further, we bring out the best of the positioning system by selecting advantageous values for these parameters. For our study, we utilize a test environment with a size of about 312 square meters that is covered with 612 reference points arranged in an equally spaced grid.