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Journal ArticleDOI

Survey of Wireless Indoor Positioning Techniques and Systems

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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.

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Citations
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The shared bicycle and its Network-Internet of Shared Bicycle (IoSB): a review and survey

TL;DR: The concept of the Internet of Shared Bicycle (IoSB) is proposed for the first time, as far as the authors know, to find a feasible solution for those technical problems of the shared bicycle.
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An Efficient Three-Dimensional Localization Scheme Using Trilateration in Wireless Sensor Networks

TL;DR: A novel three-dimensional localization algorithm based on a simple range-based localization approach that uses Heron's formula of tetrahedron to calculate the target height and then transforms a two-dimensional location computed by LLSE into a 3D estimated location.
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Machine Learning for the Detection and Identification of Internet of Things Devices: A Survey

TL;DR: A comprehensive survey on machine learning technologies for the identification of IoT devices along with the detection of compromised or falsified ones from the viewpoint of passive surveillance agents or network operators is provided in this article .
Book ChapterDOI

A Survey on Indoor Positioning Systems: Foreseeing a Quality Design

TL;DR: The survey on different positioning techniques in relation to the satisfaction of certain non-functional requirements such as accuracy, responsiveness, complexity, scalability, etc, is provided so that it can serve as guide to system designers in their ultimate decisions.
Journal ArticleDOI

Schedule-based sequential localization in asynchronous wireless networks

TL;DR: This paper formulate the schedule-based localization problem as an estimation problem in a Bayesian framework, which provides robustness with respect to uncertainty in such system parameters as anchor locations and timing devices and derives a sequential approximate maximum a posteriori (AMAP) estimator.
References
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Book

The Nature of Statistical Learning Theory

TL;DR: Setting of the learning problem consistency of learning processes bounds on the rate of convergence ofLearning processes controlling the generalization ability of learning process constructing learning algorithms what is important in learning theory?
Journal ArticleDOI

Wireless sensor networks: a survey

TL;DR: The concept of sensor networks which has been made viable by the convergence of micro-electro-mechanical systems technology, wireless communications and digital electronics is described.
Proceedings ArticleDOI

RADAR: an in-building RF-based user location and tracking system

TL;DR: RADAR is presented, a radio-frequency (RF)-based system for locating and tracking users inside buildings that combines empirical measurements with signal propagation modeling to determine user location and thereby enable location-aware services and applications.
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An Introduction to Support Vector Machines

TL;DR: This book is the first comprehensive introduction to Support Vector Machines, a new generation learning system based on recent advances in statistical learning theory, and introduces Bayesian analysis of learning and relates SVMs to Gaussian Processes and other kernel based learning methods.
Journal ArticleDOI

The active badge location system

TL;DR: A novel system for the location of people in an office environment is described, where members of staff wear badges that transmit signals providing information about their location to a centralized location service, through a network of sensors.
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