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Localization and Tracking for Internet of Things
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Localization and Tracking for Internet of Things

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".

Deadline for manuscript submissions: closed (30 April 2023) | Viewed by 1829

Special Issue Editors

Prof. Dr. Bang Wang

E-Mail Website
Guest Editor
School of Electronic Information and Communications, Huazhong University of Science and Technology (HUST), Wuhan 430074, China
Interests: indoor localization and tracking; Wi-Fi fingerprinting; machine learning; Internet of Things
Special Issues, Collections and Topics in MDPI journals
Dr. Tony T. Luo

E-Mail Website
Guest Editor
Associate Professor, Computer Science Department, Missouri University of Science and Technology, Rolla, MO, USA
Interests: machine learning; Internet of Things; cybersecurity
Special Issues, Collections and Topics in MDPI journals
Dr. Di He

E-Mail Website
Guest Editor
Shanghai Key Laboratory of Navigation and Location-Based Services, Shanghai Jiao Tong University (SJTU), 800 Dongchuan Road, Shanghai 200240, China
Interests: wireless localization; navigation; nonlinear signal processing
Special Issues, Collections and Topics in MDPI journals
Dr. Zhi Cai

E-Mail Website
Guest Editor
School of Computer Science, Beijing University of Technology, Beijing 100124, China
Interests: spatio-temporal data analysis and positioning algorithms; geosocial data mining; information retrieval
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Recently, the Internet of Things (IoT) has played a critical role in the rapid development of cyber-physical social systems (CPSS) for smart cities. Yet, the sensory data provided by IoT devices is only useful with the provision of their either exact or semantic locations, which results in many interesting and important research challenges regarding how to localize and/or track IoT devices. On the one hand, for enabling localization, diverse devices have been integrated into the IoT (for example, sensor nodes and smartphones), such as cameras (visible light, LED, and infrared), wireless transceivers (4G/5G, Wi-Fi, Bluetooth, ultra-wide band), as well as internal sensors (for example, barometers, gyroscope, and magnetometer). On the other hand, localization requirements could be quite different for different application scenarios, such as outdoors/indoors and stationary/moving situations. How to adopt suitable techniques and design advanced algorithms to provide location and tracking services for a wide range of applications has been investigated and researched in recent years.

This Special Issue aims to provide opportunities and platforms for researchers to exchange their recent developments on the “Localization and Tracking for Internet of Things”. Topics may include, but are not limited to, ranging techniques, range-based/range-free localization, passive/device-free localization, fingerprinting-based localization, vision-based localization, collaborative localization, target positioning and tracking, pedestrian dead reckoning, signal processing/machine learning for localization and navigation, information fusion for localization, and security and privacy issues in localization. Reviews and surveys are also welcome for submission to this Special Issue. 

Prof. Dr. Bang Wang
Dr. Tony T. Luo
Dr. Di He
Dr. Zhi Cai 
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • localization
  • navigation
  • tracking
  • indoor/outdoor localization
  • range-based/range-free localization
  • passive/device-free localization
  • security and privacy in localization
  • Internet of Things

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Published Papers (1 paper)

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Research

19 pages, 4850 KiB  
Article
An IoT-Based GeoData Production System Deployed in a Hospital
by Nel Samama and Alexandre Patarot
Sensors 2023, 23(4), 2086; https://doi.org/10.3390/s23042086 - 13 Feb 2023
Cited by 1 | Viewed by 1306
Abstract
Navigation in large hospitals remains a challenge, especially for patients, visitors and, in some cases, for staff, but in particular it is notable in the case of tracking ambulatory equipment. Current techniques generally seek to reproduce what outdoor navigation systems provide, i.e., “good” [...] Read more.
Navigation in large hospitals remains a challenge, especially for patients, visitors and, in some cases, for staff, but in particular it is notable in the case of tracking ambulatory equipment. Current techniques generally seek to reproduce what outdoor navigation systems provide, i.e., “good” accuracy. In many cases, especially in hospitals, reliability is much more important than accuracy. We show that it is possible to realize a simple, reliable system with a low accuracy, but which perfectly fulfills the task assigned in the particular case of tracking stretchers. Optimizing the use of hospital equipment requires the knowledge of its movement. The possibility to access equipment location in real time as well as on the knowledge of the time necessary to move it between two locations allows to predict or to estimate the load and possibly to scale the necessary number of stretchers, and thus the availability of the stretcher bearers. In this paper, an approach of the real-time location of these devices is proposed, and it is called “symbolic”. The principle is described, as well as the practical implementation and the data that can be retrieved. In the second part, an analysis of the results obtained is provided in two directions: the location of stretchers and the determination of travel times. The methodology followed is described, and it is shown that a correct positioning rate of 90% is reached, which is slightly lower than expected, explained by the chosen practical implementation. Moreover, the average error on the determination of travel times is approximately ten seconds on 2 to 7 min trips. The “reliability” (the terminology of which is discussed at the end of the paper) of the results is related to the simplicity of the approach. Full article
(This article belongs to the Special Issue Localization and Tracking for Internet of Things)
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