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Special Issue "Intelligent Industrial Application of Consumer Wireless Technologies"

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

Deadline for manuscript submissions: 30 April 2020.

Special Issue Editors

Prof. Dr. Gerhard P. Hancke
E-Mail Website
Guest Editor
Department of Electrical, Electronic and Computer Engineering, University of Pretoria, Pretoria, South Africa
Interests: wireless sensor networks
Special Issues and Collections in MDPI journals
Dr. Mithun Mukherjee
E-Mail Website
Guest Editor
Guangdong University of Petrochemical Technology, China
Interests: wireless sensor network; wireless communications; energy harvesting; cloud computing
Special Issues and Collections in MDPI journals

Special Issue Information

Dear Colleagues,

There are a number of new wireless technologies aimed primarily at connecting consumers and creating commercial networks, such as LoRa, Sigfox, LTE-M, and NB-IoT. These technologies can also be applied to existing and new industrial applications and Industrial Internet of Things (IIoT); however, this would require systems to ensure network performance, such as reliable connectivity and latency, appropriate intelligent information processing, in addition to device management. The main objective of this Special Issue is to provide a forum to share and discuss new ideas, use cases, and research results on all aspects of industrial wireless technologies. You are invited to submit original research contributions in all related areas, which include, but are not limited to:

  • Intelligent and innovative wireless industrial applications for consumers
  • Intelligent information processing for these application
  • Software-defined networking, network functions virtualization, and network slicing for IIoT
  • Edge, fog, and cloud computing for IIoT
  • Energy efficiency and energy harvesting for LoRa, Sigfox, LTE-M, and NB-IoT
  • Simulation, testbeds, prototypes, field trails, and other performance analyses
  • Channel characterisation and modelling in industrial environments
  • Wireless ranging, device localisation, and location-based services

Prof. Dr. Gerhard P. Hancke
Dr. Mithun Mukherjee
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 papers will be 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 1800 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

  • IoT
  • industrial IoT
  • localisation
  • embedded intelligence
  • narrow-band IoT

Published Papers (1 paper)

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Research

Open AccessArticle
Evaluating the Implications of Varying Bluetooth Low Energy (BLE) Transmission Power Levels on Wireless Indoor Localization Accuracy and Precision
Sensors 2019, 19(15), 3282; https://doi.org/10.3390/s19153282 - 25 Jul 2019
Abstract
Bluetooth Low Energy (BLE) based Wireless Indoor Localization System (WILS) with high localization accuracy and high localization precision is a key requirement in enabling the Internet of Things (IoT) in today’s applications. In this paper, we investigated the effect of BLE signal variations [...] Read more.
Bluetooth Low Energy (BLE) based Wireless Indoor Localization System (WILS) with high localization accuracy and high localization precision is a key requirement in enabling the Internet of Things (IoT) in today’s applications. In this paper, we investigated the effect of BLE signal variations on indoor localization caused by the change in BLE transmission power levels. This issue is not often discussed as most of the works on localization algorithms use the highest power levels but has important practical implications for energy efficiency, e.g., if a designer would like to trade-off localization performance and node lifetime. To analyze the impact, we used the established trilateration based localization model with two methods i.e., Centroid Approximation (CA) and Minimum Mean Square Error (MMSE). We observed that trilateration based localization with MMSE method outperforms the CA method. We further investigated the use of two filters i.e., Low Pass Filter (LPF) and Kalman Filter (KF) and evaluated their effects in terms of mitigating the random variations from BLE signal. In comparison to non-filter based approach, we observed a great improvement in localization accuracy and localization precision with a filter-based approach. Furthermore, in comparison to LPF based trilateration localization with CA, the performance of a KF based trilateration localization with MMSE is far better. An average of 1 m improvement in localization accuracy and approximately 50% improvement in localization precision is observed by using KF in trilateration based localization model with the MMSE method. In conclusion, with KF in trilateration based localization model with MMSE method effectively eliminates random variations in BLE RSS with multiple transmission power levels and thus results in a BLE based WILS with high accuracy and high precision. Full article
(This article belongs to the Special Issue Intelligent Industrial Application of Consumer Wireless Technologies)
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