The active badge location system
ACM Transactions on Information Systems (TOIS)
The Cricket location-support system
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
The anatomy of a context-aware application
Wireless Networks - Selected Papers from Mobicom'99
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
The GSM System for Mobile Communications
The GSM System for Mobile Communications
Practical robust localization over large-scale 802.11 wireless networks
Proceedings of the 10th annual international conference on Mobile computing and networking
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
The SkyLoc Floor Localization System
PERCOM '07 Proceedings of the Fifth IEEE International Conference on Pervasive Computing and Communications
MoteTrack: a robust, decentralized approach to RF-based location tracking
Personal and Ubiquitous Computing
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
LoCA'07 Proceedings of the 3rd international conference on Location-and context-awareness
Place lab: device positioning using radio beacons in the wild
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
Analysis of WLAN's received signal strength indication for indoor location fingerprinting
Pervasive and Mobile Computing
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Since the first days of location-based services, the reliable estimation of a user's position has been seen as one of the key prerequisites for their success. While satellite-based systems can deliver suitable results when the user is outdoors, another solution is needed in case that he is located inside a building. Here, the position estimation with the help of 802.11 and fingerprinting algorithms promises to fill the gap. One major drawback though is the high initial effort that is needed to deploy such a fingerprinting-based 802.11 positioning system. Therefore, in this paper, novel algorithms that pre-process the data collected for the fingerprints are presented. By this pre-processing step, the amount of data that needs to be collected and therefore also the amount of time that needs to be spent collecting the data can be reduced by about 80%. Additionally, despite the reduced amount of data, the positioning accuracy cannot only be retained but even slightly improved by about 15% depending on the system's setup.