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Artificial Intelligence and Blockchain for IoT B5G Networking
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Artificial Intelligence and Blockchain for IoT B5G Networking

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

Deadline for manuscript submissions: closed (30 March 2022) | Viewed by 7578

Special Issue Editors

Dr. Ramón Agüero

E-Mail Website
Guest Editor
Department of Communications Engineering, University of Cantabria, 39005 Santander, Spain
Interests: network coding; WLAN and WPAN technologies; TCP/IP performance analysis over wireless networks; multi-hop and ad hoc network techniques and protocols; wireless sensor networks
Special Issues, Collections and Topics in MDPI journals
Dr. Ayman Radwan

E-Mail Website
Guest Editor
Instituto de Telecomunicações and Universidade de Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal
Interests: wireless communications; radio resource management; Internet of Things; future generations of mobile communications (5G)
Special Issues, Collections and Topics in MDPI journals
Dr. Kim-Fung Tsang

E-Mail Website
Guest Editor
Department of Electrical Engineering, City University of Hong Kong, Hong Kong, China
Interests: Internet of Things standards; sensors; wireless protocols; network optimization; emerging networks of Internet of Things; artificial intelligence for smart applications; blockchain and cyber security for Internet of Things
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

IoT development offers a smart high-level concept for integrating physical and cyber objects. In the coming decade, there will be hundreds of billions of IoT connections. It is inevitable that the IoT will find applications in all walks of our lives, spanning energy management, healthcare, transportation, and fin-tech, to name a few. Nonetheless, the intrinsic uncoordinated frequency band and the ever-growing IoT market may pose various critical challenges in public safety, cybersecurity, and data privacy. Hence, beyond 5G (B5G) technologies will need to tackle a broad range of new requirements. In particular, this Special Issue (SI) solicits works targeting beyond 5G networking, focusing on research addressing artificial intelligence (AI) and blockchain, and the integration of both. The large amount of data that will be collected by IoT devices will be sent to the cloud, with ample room for data analytics and AI techniques. On the other hand, security aspects (integrity, confidentiality, reliability) shall be considered from the early design stages, and not as late patches, and blockchain has loomed as an enabling technology that might be considered.

Authors of selected papers from the ICC'21 Workshop towards Standardized Secured IoT B5G Networking - Artificial Intelligence and Blockchain will be invited to send extended versions of their papers; however, other original submissions are also welcome and will be considered for publication in this Special Issue.

Dr. Ramón Agüero
Dr. Ayman Radwan
Dr. Kim-Fung Tsang
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

  • B5G
  • Artificial Intelligence
  • Machine Learning
  • Blockchain
  • Fog/Cloud computing

Published Papers (2 papers)

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Research

15 pages, 467 KiB  
Article
Functional Safety Networks and Protocols in the Industrial Internet of Things Era
by Giovanni Peserico, Alberto Morato, Federico Tramarin and Stefano Vitturi
Sensors 2021, 21(18), 6073; https://doi.org/10.3390/s21186073 - 10 Sep 2021
Cited by 15 | Viewed by 4292
Abstract
Functional safety networks are becoming of paramount importance in industrial systems, due to the progressive innovation introduced by the Industry 4.0 paradigm, characterized by high production flexibility, reliability and scalability. In this context, new and challenging applications have emerged such as hyperautomation, which [...] Read more.
Functional safety networks are becoming of paramount importance in industrial systems, due to the progressive innovation introduced by the Industry 4.0 paradigm, characterized by high production flexibility, reliability and scalability. In this context, new and challenging applications have emerged such as hyperautomation, which refers to the combination of machine vision, robotics, communication, and learning, with the explicit involvement of humans. This requires the pervasive and ubiquitous connectivity encompassed by the Industrial Internet of Things, typically achieved via wireless systems. As an example, wireless communications are today fundamental to open up to new categories of autonomous devices that can actively collaborate with human personnel in the production process. This challenging scenario has important implications for safety. Indeed, a reliable coordination among sensors, actuators and computing systems is required to provide satisfactory levels of safety, especially in the case of innovative processes and technologies, such as mobile and collaborative robotics. Hence, it becomes imperative to ensure the correct transfer of safety-critical data via communication networks. In this paper, we address the challenges concerned with functional safety networks and protocols in Industrial Internet of Things ecosystems. We first introduce the design characteristics of functional safety networks and discuss the adoption of safety protocols over wireless networks. Then, we specifically address one of such protocols, namely Fail Safety over EtherCAT (FSoE), and provide the results of an extensive experimental session carried out exploiting a prototype system, implemented using commercial devices based on a WiFi network. Finally, the outcomes of the experiments are used as a basis for a discussion about future trends of functional safety in the Industrial Internet of Things era. Full article
(This article belongs to the Special Issue Artificial Intelligence and Blockchain for IoT B5G Networking)
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23 pages, 612 KiB  
Article
Distributed Watchdogs Based on Blockchain for Securing Industrial Internet of Things
by JongHyup Lee and Taekyoung Kwon
Sensors 2021, 21(13), 4393; https://doi.org/10.3390/s21134393 - 26 Jun 2021
Cited by 7 | Viewed by 2282
Abstract
The Industrial Internet of Things (IIoT) could enhance automation and analytics in industrial environments. Despite the promising benefits of IIoT, securely managing software updates is a challenging problem for those critical applications. This is due to at least the intrinsic lack of software [...] Read more.
The Industrial Internet of Things (IIoT) could enhance automation and analytics in industrial environments. Despite the promising benefits of IIoT, securely managing software updates is a challenging problem for those critical applications. This is due to at least the intrinsic lack of software protection mechanisms in legacy industrial systems. In this paper, to address the challenges in building a secure software supply chain for industrial environments, we propose a new approach that leverages distributed watchdogs with blockchain systems in protecting software supply chains. For this purpose, we bind every entity with a unique identity in the blockchain and employ the blockchain as a delegated authenticator by mapping every reporting action to a non-fungible token transfer. Moreover, we present a detailed specification to clearly define the behavior of systems and to apply model checking. Full article
(This article belongs to the Special Issue Artificial Intelligence and Blockchain for IoT B5G Networking)
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