Robust positioning system based on fingerprint approach
Proceedings of the 5th ACM international workshop on Mobility management and wireless access
Proceedings of the first ACM international workshop on Mobile entity localization and tracking in GPS-less environments
An effective location fingerprint model for wireless indoor localization
Pervasive and Mobile Computing
Improving Location Fingerprinting through Motion Detection and Asynchronous Interval Labeling
LoCA '09 Proceedings of the 4th International Symposium on Location and Context Awareness
A new distributed localization algorithm for ZigBee wireless networks
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Low complexity location fingerprinting with generalized UWB energy detection receivers
IEEE Transactions on Signal Processing
Clustering-based location in wireless networks
Expert Systems with Applications: An International Journal
A comparison of deterministic and probabilistic methods for indoor localization
Journal of Systems and Software
A user location case study using different wireless protocols
Proceedings of the 9th ACM international symposium on Mobility management and wireless access
Indoor location prediction using multiple wireless received signal strengths
AusDM '08 Proceedings of the 7th Australasian Data Mining Conference - Volume 87
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Positioning systems enable location-awareness for mobile computers in ubiquitous and pervasive wireless computing. By utilizing location information, location-aware computers can render location-based services possible for mobile users. Indoor positioning systems based on location fingerprints of wireless local area networks have been suggested as a viable solution where the global positioning system does not work well. Instead of depending on accurate estimations of angle or distance in order to derive the location with geometry, the fingerprinting technique associates location-dependent characteristics such as received signal strength to a location and uses these characteristics to infer the location. The advantage of this technique is that it is simple to deploy with no specialized hardware required at the mobile station except the wireless network interface card. Any existing wireless local area network infrastructure can be reused for this kind of positioning system. While empirical results and performance studies of such positioning systems are presented in the literature, analytical models that can be used as a framework for efficiently designing the positioning systems are not available. This dissertation develops an analytical model as a design tool and recommends a design guideline for such positioning systems in order to expedite the deployment process. A system designer can use this framework to strike a balance between the accuracy, the precision, the location granularity, the number of access points, and the location spacing. A systematic study is used to analyze the location fingerprint and discover its unique properties. The location fingerprint based on the received signal strength is investigated. Both deterministic and probabilistic approaches of location fingerprint representations are considered. The main objectives of this work are to predict the performance of such systems using a suitable model and perform sensitivity analyses that are useful for selecting proper system parameters such as number of access points and minimum spacing between any two different locations.