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Intelligent Future IoT Networks
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Intelligent Future IoT Networks

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

Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 4294

Special Issue Editors

Prof. Dr. Yousaf Bin Zikria

E-Mail Website
Guest Editor
Department of Information and Communication Engineering, Yeungnam University, Gyeongsan, Korea
Interests: IoT, 5G, wireless communications and networks, opportunistic communications, wireless sensor networks, routing protocols, cognitive radio ad hoc networks
Special Issues, Collections and Topics in MDPI journals
Dr. Rashid Ali

E-Mail Website
Guest Editor
School of Intelligent Mechatronics Engineering, Sejong University, 209 Neungdong-ro, Gunja-dong, Gwangjin-gu, Seoul, Republic of Korea
Interests: reinforcement learning; federated reinforcement learning; wireless networks; network performance analysis; IP routing; IoTs; tactile internet; 5G; URLLC
Special Issues, Collections and Topics in MDPI journals
Dr. Imran Ashraf

E-Mail Website
Guest Editor
Department of Information and Communication Engineering, Yeungnam University, Gyeongsan-si 38541, Republic of Korea
Interests: indoor positioning and localization; indoor user navigation; location based services; data mining; sentiment analysis; sensors for autonomous vehicles (LIDAR); accident analysis and prevention; wireless positioning; magnetic field based positioning
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Sadia Din

E-Mail Website
Guest Editor
Department of Information and Communication Engineering, Yeungnam University, Gyeongsan 38541, Korea
Interests: Artificial Intelligence; data science; big data analytics; IoT; 5G networks
Prof. Dr. Sung Won Kim

E-Mail Website
Guest Editor
Department of Information and Communication Engineering, Yeungnam University, Gyeongsan-si 38541, Republic of Korea
Interests: resource management; wireless networks; mobile networks; performance evaluation; embedded systems; machine learning
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The next-generation IoT networks are required to be robust and self-sustained. Future wireless networks comprise all the diverse technologies operating in different frequencies envisioned to achieve a user and network quality of experience. Integration of all the diverse applications with various quality of experiences over the future IoT networks demands standardization. A 6G networks ecosystem should cater to all these challenges for seamless integration and connectivity. Futuristic smart cities connect all the industries and consumers' devices to improve the quality of living. However, without network intelligence, this vision is incomplete. Intelligent data handling at the network edge to all the TCP/IP layers is essential to achieve this goal.

This Special Issue aims to bring together academia and industrial researchers to explore the opportunities for intelligent future IoT networks, to study its impact on the solution of the challenges mentioned above, and to propose viable solutions. We solicit papers covering various topics of interest that include, but are not limited to, the following:

  • Intelligent IoT-based smart health
  • Intelligent IoT-based smart city
  • Intelligent IoT-based smart agriculture
  • Intelligent IoT-based data analytics
  • Intelligent IoT-based industrial IoT
  • Intelligent IoT-based multimedia
  • IoT-Based Intelligent Transportation System (ITS)
  • Intelligent IoT-based spectrum sharing techniques
  • Intelligent IoT-based security and privacy techniques
  • Intelligent IoT-based cross-layer protocols

Prof. Dr. Yousaf Bin Zikria
Prof. Dr. Rashid Ali
Prof. Dr. Imran Ashraf
Dr. Sadia Din
Prof. Dr. Sung Won Kim
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.

Published Papers (1 paper)

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Research

22 pages, 6768 KiB  
Article
An Optimized Approach to Channel Modeling and Impact of Deteriorating Factors on Wireless Communication in Underground Mines
by Fawad Javaid, Anyi Wang, Muhammad Usman Sana, Asif Husain and Imran Ashraf
Sensors 2021, 21(17), 5905; https://0-doi-org.brum.beds.ac.uk/10.3390/s21175905 - 02 Sep 2021
Cited by 7 | Viewed by 2925
Abstract
The environment of underground coal mines has challenging properties that makes this zone inadaptable for a stable communication system. Additionally, various deteriorating physical parameters strongly affect the performance of wireless networks, which leads to limited network coverage and poor quality of data communication. [...] Read more.
The environment of underground coal mines has challenging properties that makes this zone inadaptable for a stable communication system. Additionally, various deteriorating physical parameters strongly affect the performance of wireless networks, which leads to limited network coverage and poor quality of data communication. This study investigates the communication capability in underground coal mines by optimizing the wireless link to develop a stable network for an underground hazardous environment. A hybrid channel-modeling scheme is proposed to characterize the environment of underground mines for wireless communication by classifying the area of a mine into the main gallery and sub-galleries. The complex segments of mine are evaluated by categorizing the wireless links for the line-of-sight (LOS) zones and hybrid modeling is employed to examine the characteristics of electromagnetic signal propagation. For hybrid channel modeling, the multimode waveguide model and geometrical optic (GO) model are used for developing an optimal framework that improves the accessibility of the network in the critical time-varying environment of mines. Moreover, the influence of various deteriorating factors is analyzed using 2.4 GHz to 5 GHz frequency band to study its relationship with the vital constraints of an underground mine. The critical factors such as path loss, roughness loss, delay spread, and shadow fading are examined under detailed analysis with variation in link structure for the mine. Full article
(This article belongs to the Special Issue Intelligent Future IoT Networks)
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