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Industrial Wireless Sensor Networks: Applications, Protocols and Challenges

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

Deadline for manuscript submissions: closed (30 September 2021) | Viewed by 4202

Special Issue Editor


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Guest Editor
Faculty of Engineering, Norwegian University of Science and Technology, 7491 Trondheim, Norway
Interests: radio channel modeling and prediction; antennas; signal processing; software defined radio; industrial wireless sensor networks; performance evaluation of communication systems; physical-layer security of wieless communication systems; game theory and machine learning techniques; cross-layer protocol design; sensors and sensor systems

Special Issue Information

Dear Colleagues,

The industrial Internet of Things and subsequent Industry 4.0 are offering promising prospects for wireless industrial communications. With the ever-growing use of sensors and networked machines (cyberphysical systems), a high volume of available big data can be utilized to design intelligent, self-adaptable, and autonomous manufacturing systems. The data can be from low rate sensors including mission-critical machine-to-machine communications to very high-rate video signals from vision sensors. In such purposes, high capacity wireless technologies will play a key role in accommodating high rate, and strict reliability and latency requirements of future manufacturing systems.

Extensive research was done in the past on wireless industrial networks, focusing mainly on frequencies below 6 GHz. By extending the research to explore feasibility in the millimeter wave bands, new ultra-high reliable, low-latency and very high-rate-demanding industrial applications for next-generation intelligent, self-adaptable, and autonomous manufacturing systems can be envisaged. So far, research on millimeter wave communications has focused on ordinary indoor and outdoor environments, which are not as challenging as industrial ones (having harsh wave propagation characteristics). The physical characteristics of the considered environments are very different to those of industrial settings, resulting in different wave propagation mechanisms.

The objective of the Special Issue is to collect high-quality state-of the-art research papers that address novel industrial air interface technologies over the millimeter wave spectrum (involving both the physical and datalink layers) as well as papers addressing different industrial applications and challenges over the millimeter wave spectrum. Original, unpublished works on the abovementioned topic are solicited.

Prof. Dr. Michael Cheffena
Guest Editor

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Keywords

  • measurements
  • channel models
  • prediction models
  • beamforming techniques
  • scheduling strategies
  • access control
  • modulation and code book design

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Published Papers (1 paper)

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Research

18 pages, 8683 KiB  
Article
Wideband Channel Characterization for 6G Networks in Industrial Environments
by Ahmed Al-Saman, Marshed Mohamed, Michael Cheffena and Arild Moldsvor
Sensors 2021, 21(6), 2015; https://doi.org/10.3390/s21062015 - 12 Mar 2021
Cited by 24 | Viewed by 3471
Abstract
Wireless data traffic has increased significantly due to the rapid growth of smart terminals and evolving real-time technologies. With the dramatic growth of data traffic, the existing cellular networks including Fifth-Generation (5G) networks cannot fully meet the increasingly rising data rate requirements. The [...] Read more.
Wireless data traffic has increased significantly due to the rapid growth of smart terminals and evolving real-time technologies. With the dramatic growth of data traffic, the existing cellular networks including Fifth-Generation (5G) networks cannot fully meet the increasingly rising data rate requirements. The Sixth-Generation (6G) mobile network is expected to achieve the high data rate requirements of new transmission technologies and spectrum. This paper presents the radio channel measurements to study the channel characteristics of 6G networks in the 107–109 GHz band in three different industrial environments. The path loss, K-factor, and time dispersion parameters are investigated. Two popular path loss models for indoor environments, the close-in free space reference distance (CI) and floating intercept (FI), are used to examine the path loss. The mean excess delay (MED) and root mean squared delay spread (RMSDS) are used to investigate the time dispersion of the channel. The path loss results show that the CI and FI models fit the measured data well in all industrial settings with a path loss exponent (PLE) of 1.6–2. The results of the K-factor show that the high value in industrial environments at the sub-6 GHz band still holds well in our measured environments at a high frequency band above 100 GHz. For the time dispersion parameters, it is found that most of the received signal energy falls in the early delay bins. This work represents a first step to establish the feasibility of using 6G networks operating above 100 GHz for industrial applications. Full article
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