Home // ICSNC 2015, The Tenth International Conference on Systems and Networks Communications // View article

Categorization of Technologies used for Fingerprint-Based Indoor Localization

Authors:
Mário Melo
Gibeon Aquino

Keywords: indoor localization;fingerprint; technologies;

Abstract:
Indoor localization systems have become very popular in recent years. These systems provide a new automation layer for the localization of people or objects in indoor environments, which makes them crucial for many applications. The indoor localization techniques can be classified in the following classes: proximity, fingerprint, triangulation and vision analysis, being the fingerprint class the most used. This paper presents the results of a literature systematic mapping on fingerprint-based indoor localization, aiming to identify the technologies used for this purpose. The selected search strategy returned 1003 papers, which underwent a series of inclusion and exclusion criteria that resulted with 539 articles being accepted. This work identified that the main technology used for indoor localization is the WIFI, followed by ZigBee. As a contribution, this study is intended to provide an overview of the indoor location area and the technologies used in others studies.

Pages: 103 to 108

Copyright: Copyright (c) IARIA, 2015

Publication date: November 15, 2015

Published in: conference

ISSN: 2163-9027

ISBN: 978-1-61208-439-8

Location: Barcelona, Spain

Dates: from November 15, 2015 to November 20, 2015