Neural computing: an introduction
Neural computing: an introduction
The nature of statistical learning theory
The nature of statistical learning theory
Neural network design
Neural Networks
Computer
WLAN Location Determination via Clustering and Probability Distributions
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
A tutorial on support vector regression
Statistics and Computing
An Introduction to RFID Technology
IEEE Pervasive Computing
ARIADNE: a dynamic indoor signal map construction and localization system
Proceedings of the 4th international conference on Mobile systems, applications and services
A context-aware cache structure for mobile computing environments
Journal of Systems and Software
Kernel-Based Positioning in Wireless Local Area Networks
IEEE Transactions on Mobile Computing
Location based services using geographical information systems
Computer Communications
A Survey on Wireless Position Estimation
Wireless Personal Communications: An International Journal
Wireless Personal Communications: An International Journal
Location determination using WiFi fingerprinting versus WiFi trilateration
Journal of Location Based Services
An effective location fingerprint model for wireless indoor localization
Pervasive and Mobile Computing
UbiCicero: A location-aware, multi-device museum guide
Interacting with Computers
Statistical learning theory for location fingerprinting in wireless LANs
Computer Networks: The International Journal of Computer and Telecommunications Networking
A taxonomy for radio location fingerprinting
LoCA'07 Proceedings of the 3rd international conference on Location-and context-awareness
Clustering-based location in wireless networks
Expert Systems with Applications: An International Journal
RFID-Based Positioning System for Telematics Location-Aware Applications
Wireless Personal Communications: An International Journal
MoteTrack: a robust, decentralized approach to RF-Based location tracking
LoCA'05 Proceedings of the First international conference on Location- and Context-Awareness
Indoor positioning using GPS revisited
Pervasive'10 Proceedings of the 8th international conference on Pervasive Computing
Indoor geolocation science and technology
IEEE Communications Magazine
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The precise and accurate performance of location estimation is a vital component of context-aware applications. Numerous mobile devices with built-in IEEE 802.11 Wi-Fi technology can be used to estimate a user's location through a wireless local area network (WLAN) in indoor environments in which fixed access points are deployed. This study deals with improving the common techniques of such positioning once the acquisition of the fingerprint database in offline phase is performed. The main idea is to propose a methodology that includes two layers of classification: a concurrent hierarchical partitioning of both signal and physical space in a way that signal patterns in each part of building have the highest similarity, and a precise and independent positioning in a given part. A procedure for combining the proposed classifier with either artificial neural network (ANN) or Bayesian probabilistic model is then introduced. We also consider an alternative strategy for ANN learning by including all raw observations. The average distance error was successfully reduced in the proposed methodology by 32 % compared to the simple approach. We concluded that the physical partitioning should also consider the signal behavior. Toosi location-aware mobile system was ultimately implemented, providing different services (e.g., friend finder and nearest point of interest) based on the proposed technique via WLAN. The system benefits from the high level of interaction provided by Asynchronous JavaScript and XML (AJAX) technology. It is capable of transferring locational data and GIS map services efficiently to the mobile terminal.