Indoor Positioning and Navigation of Sensor Networks

A special issue of Journal of Sensor and Actuator Networks (ISSN 2224-2708). This special issue belongs to the section "Network Services and Applications".

Deadline for manuscript submissions: closed (30 April 2019) | Viewed by 6128

Special Issue Editors

Institute of New Imaging Technologies, Universitat Jaume I, Castellón, Spain
Interests: indoor localization and navigation; machine learning; sports analysis
Special Issues, Collections and Topics in MDPI journals
Faculty of Computer Sciences, Multimedia and Telecommunication at Universitat Oberta de Catalunya (UOC), Barcelona, Spain; Internet Interdisciplinary Institute (IN3) at UOC, Castelldefels, Spain
Interests: physics; physics and science fiction; e-learning; geographic information systems and indoor positioning; context-aware recommender systems; location-based systems
Special Issues, Collections and Topics in MDPI journals
ALGORITMI Research Centre, Universidade do Minho, 4800-058 Guimarães, Portugal
Interests: neural networks; pattern recognition; machine learning; image processing; outdoor robotics; artificial intelligence; indoor localization and positioning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We are living in the smart everything and everywhere era. Many devices have been spread throughout our cities to gather data about the weather, pollution, noise and other physical measurable phenomena regarding the citizens' quality of life or smart city indicators. The sensor networks are providing the infrastructure for data management and for reliable and efficient communication involving all the nodes. This “smart” environment will be growing in the future.

Indoor scenarios have emerged as a new complex scenario for sensor network deployment, where applications involving indoor positioning are playing a key role. This Special Issue encourages authors from academia and industry to submit new research results regarding technological innovations and novel applications for the indoor positioning and navigation of sensor networks. The Special Issue topics include, but are not limited to:

  • Wired and wireless sensor networks
  • Optimization of energy consumption
  • Tolerance of node failures
  • Mobile and static sensor networks
  • Heterogeneity in deployed nodes
  • Scalability to large-scale deployments
  • Operability in harsh environmental conditions
  • Collaborative sensor data management
  • Cross-layer design
  • Security and privacy
  • Indoor navigation supported by (W)SN
  • Advances in available technologies: ZigBee, LoRaWAN,...
  • 5G applications for indoor positioning

Dr. Raúl Montoliu
Dr. Antoni Pérez-Navarro
Dr. Joaquín Torres-Sospedra
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. Journal of Sensor and Actuator Networks 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 2000 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.

Published Papers (1 paper)

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Research

15 pages, 2632 KiB  
Article
Utilization of a Non-Linear Error Function in a Positioning Algorithm for Distance Measurement Systems Designed for Indoor Environments
by Agnieszka Czapiewska
J. Sens. Actuator Netw. 2019, 8(2), 21; https://doi.org/10.3390/jsan8020021 - 16 Apr 2019
Cited by 1 | Viewed by 5515
Abstract
A new positioning algorithm for distance measurement systems is outlined herein. This algorithm utilizes a non-linear error function which allows us to improve the positioning accuracy in highly difficult indoor environments. The non-linear error function also allows us to adjust the performance of [...] Read more.
A new positioning algorithm for distance measurement systems is outlined herein. This algorithm utilizes a non-linear error function which allows us to improve the positioning accuracy in highly difficult indoor environments. The non-linear error function also allows us to adjust the performance of the algorithm to the particular environmental conditions. The well-known positioning algorithms have limitations, mentioned by their authors, which make them unsuitable for positioning in an indoor environment. In this article, there is a brief discussion about the most popular positioning algorithms with consideration of the indoor environment. The new positioning algorithm is described in detail and a comparative performance analysis of the well-known algorithms and the proposed one is conducted. Those research results are achieved with the utilization of real distance measurement data, collected inside a few different buildings, and they show that the proposed algorithm outperforms the Chan and Foy algorithms in indoor environments. In this article the Automatic Person Localization System (SALOn) is also presented, which was utilized to collect measurement data. Full article
(This article belongs to the Special Issue Indoor Positioning and Navigation of Sensor Networks)
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