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Blockchain in Future Wireless Sensor Networks: Integration and Use Case Applications

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

Deadline for manuscript submissions: 1 June 2024 | Viewed by 1258

Special Issue Editors

James Watt School of Engineering, University of Glasgow, Glasgow, UK
Interests: wireless communications; blockchain; energy-efficiency; network slicing
Special Issues, Collections and Topics in MDPI journals
National Mobile Communications Research Laboratory, Southeast University, Nanjing 210096, China
Interests: blockchain technologies; distributed systems; optical wireless communications; network modeling; machine learning; and signal processing
Special Issues, Collections and Topics in MDPI journals
James Watt School of Engineering, University of Glasgow, Glasgow G12 8QF, UK
Interests: distributed consensus; distributed systems; blockchain/distributed ledger technology (DLT); connected autonomous systems; Internet of Things (IoT)
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the future of wireless networks shifting towards decentralized solutions, with thousands of cells deployed by operators and billions of devices communicating with each other, fixed spectrum allocation and operator-controlled resource sharing algorithms will not be scalable nor effective in future networks. By designing a communications network coupled with the blockchain as its underlying infrastructure from the beginning, future wireless networks can be more scalable and provide better and more efficient solutions in spectrum sharing and resource management. Moreover, with privacy in mobile networks becoming more and more critical, due to the emergence of novel applications, such as automated vehicles, industry 4.0, and medical applications, where even a minor failure can lead to disastrous consequences, the blockchain can be of a great advantage in securing and storing sensitive information.

The proposed Special Issue will comprise a collection of the latest high-quality technical research and industrial papers with novel results covering the application and integration of the blockchain in future wireless networks. The main aim of this Special Issue is to provide a platform for the dissemination of major research challenges and achievements on this topic. Theoretical investigations as well as experiments/demonstrations are welcome.

Dr. Oluwakayode Onireti
Dr. Xintong Ling
Prof. Dr. Lei Zhang
Prof. Dr. Muhammad Ali Imran
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

  • blockchain
  • 5G and beyond
  • 6G
  • future wireless networks
  • Internet of Things
  • wireless sensor networks
  • distributed networks

Published Papers (1 paper)

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Research

19 pages, 9521 KiB  
Article
A Bibliometric Analysis of the Evolution of State-of-the-Art Blockchain Technology (BCT) in the Agrifood Sector from 2014 to 2022
by Urvashi Sugandh, Swati Nigam, Sanjay Misra and Manju Khari
Sensors 2023, 23(14), 6278; https://doi.org/10.3390/s23146278 - 10 Jul 2023
Viewed by 929
Abstract
In recent years, BCT has garnered significant attention from researchers worldwide. The technology in question is a distributed database system characterised by its decentralised nature and lack of reliability. BCT has been widely adopted by numerous governments and scholars across various sectors for [...] Read more.
In recent years, BCT has garnered significant attention from researchers worldwide. The technology in question is a distributed database system characterised by its decentralised nature and lack of reliability. BCT has been widely adopted by numerous governments and scholars across various sectors for a number of years. Blockchain technology also involves highly innovative and advanced concepts. Given the increasing interest among scholars in the academic community regarding the agrifood supply chain, the objective of this study was to investigate BCT and its potential for application in the fields of food and agriculture. This research paper presents a bibliometric analysis of articles on the utilisation of BCT in the fields of food and agriculture. This study discusses scholarly articles that have been published in esteemed academic journals and conferences. Through our bibliometric analysis, we aimed to discern the recurring trends and themes within the research on BCT in relation to agrifood systems. Furthermore, this study examines a diverse array of research domains, prominent scholarly publications, leading publishing platforms, prominent funding institutions, and the prospective trajectory of future research. This study also presents the prominent patterns and themes within this field through an analysis of the most influential scholarly articles, authors, countries, and keywords found in the existing literature. Hence, this research employed various analytical techniques, including analyzing the co-occurrence of author keywords, bibliographic coupling analysis, network view map analysis, and co-citation analysis. This study holds promise as a valuable learning resource for aspiring researchers seeking to acquire compelling and pertinent information about research outcomes from studies on the utilisation of BCT in the field of smart agriculture. Full article
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