Journal ArticleDOI
Survey of Wireless Indoor Positioning Techniques and Systems
Hui Liu,Houshang Darabi,Pat Banerjee,Jing Liu +3 more
- Vol. 37, Iss: 6, pp 1067-1080
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TLDR
Comprehensive performance comparisons including accuracy, precision, complexity, scalability, robustness, and cost are presented.Abstract:
Wireless indoor positioning systems have become very popular in recent years. These systems have been successfully used in many applications such as asset tracking and inventory management. This paper provides an overview of the existing wireless indoor positioning solutions and attempts to classify different techniques and systems. Three typical location estimation schemes of triangulation, scene analysis, and proximity are analyzed. We also discuss location fingerprinting in detail since it is used in most current system or solutions. We then examine a set of properties by which location systems are evaluated, and apply this evaluation method to survey a number of existing systems. Comprehensive performance comparisons including accuracy, precision, complexity, scalability, robustness, and cost are presented.read more
Citations
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Journal ArticleDOI
A Review on Human-Centered IoT-Connected Smart Labels for the Industry 4.0
TL;DR: This paper details the latest technologies used by smart labels, their applications, the most relevant academic and commercial implementations, and their internal architecture and design requirements, providing researchers with the necessary foundations for developing the next generation of Industry 4.0 human-centered smart label applications.
Journal ArticleDOI
An improved WiFi indoor positioning algorithm by weighted fusion
TL;DR: The experimental results indicate that the proposed improved WiFi indoor positioning algorithm by weighted fusion has higher positioning accuracy than the Euclidean distance based WKNN algorithm and the joint probability algorithm.
Proceedings ArticleDOI
WiFi fingerprint indoor positioning system using probability distribution comparison
TL;DR: This paper presents a new indoor positioning method based onWi-Fi fingerprints, i.e. RSSI measurements from multiple Wi-Fi access points, which is superior to other proposed methods and reaches a median error of 2.4m.
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Synergism of INS and PDR in Self-Contained Pedestrian Tracking With a Miniature Sensor Module
TL;DR: It is feasible to develop self-contained pedestrian tracking system using inertial/magnetic sensors, eliminating the need for complicated and normally expensive infrastructure that most existing tracking systems rely on.
Journal ArticleDOI
An experimental characterization of reservoir computing in ambient assisted living applications
TL;DR: A joint analysis of the efficiency/efficacy trade-off provides novel insight in the concrete successful exploitation of RC for AAL tasks and for their distributed implementation into wireless sensor networks.
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