A Probabilistic Room Location Service for Wireless Networked Environments
UbiComp '01 Proceedings of the 3rd international conference on Ubiquitous Computing
Wireless Communications
The Horus WLAN location determination system
Proceedings of the 3rd international conference on Mobile systems, applications, and services
A kernel-based learning approach to ad hoc sensor network localization
ACM Transactions on Sensor Networks (TOSN)
ARIADNE: a dynamic indoor signal map construction and localization system
Proceedings of the 4th international conference on Mobile systems, applications and services
On convergence properties of the em algorithm for gaussian mixtures
Neural Computation
Design of an adaptive positioning system based on WiFi radio signals
Computer Communications
Intelligent Dynamic Radio Tracking in Indoor Wireless Local Area Networks
IEEE Transactions on Mobile Computing
Adaptive localization techniques in WiFi environments
ISWPC'10 Proceedings of the 5th IEEE international conference on Wireless pervasive computing
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As positioning technology is an important foundation of the Internet of Things, a dynamic indoor WLAN localization system is proposed in this paper. This paper mainly concentrates on the design and implementation of the WiMap-a dynamic indoor WLAN localization system, which employs grid-based localization method using RSS (received signal strength). To achieve high localization accuracy and low computational complexity, Gaussian mixture model is applied to approximate the signal distribution and a ROI (region of interest) is defined to limit the search region. The authors also discuss other techniques like AP selection and threshold control, which affects the localization accuracy. The experimental results indicate that an accuracy of 3m with 73.8% probability can be obtained in WiMap. Moreover, the running time is reduced greatly with limited ROI method.