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Call for Special Issue Papers: Sustainable Solutions for Internet of Things Using Artificial Intelligence and Blockchain in Future Networks

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Abstract

The world is undergoing a thoughtful revolution with the arrival of the intelligent information era. The central realms accompanying smart living such as transportation, entertainment, healthcare and smart cities are projected to improve service quality assuring a high-end user experience. Future mobile networks are projected to foster the future of ubiquitously connected data-intensive intelligent society powered with complete automation by seamless integrating of all sorts of wireless networks spread over the ground, underwater, air and space. This special issue aims to bring together foremost researchers in academia and engineering from various backgrounds to disseminate to the technical community an outline of emerging technologies, advanced architectures, challenges, open issues and future directions of modern networks in artificial intelligence, internet of things, and blockchain-based applications.
Acta Informatica Pragensia
2022, Volume 11, Issue 1, pp. 145148
https://doi.org/10.18267/j.aip.177
Citation: Kandasamy, V., Abouhawwash, M., & Bacanin, N. (2022). Call for Special Issue Papers: Sustainable Solutions for Internet of Things
using Artificial Intelligence and Blockchain in Future Networks. Acta Informatica Pragensia, 11(1), 145148. https://doi.org/10.18267/j.aip.177
Copyright: © 2022 by the author(s). Licensee Prague University of Economics and Business, Czech Republic.
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution License (CC BY).
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Open Access
Call for Special Issue Papers:
Sustainable Solutions for Internet of Things Using Artificial
Intelligence and Blockchain in Future Networks
Deadline for Manuscript Submission: 31 October 2022
Dr. Venkatachalam Kandasamy , University of Hradec Kralove, Czech Republic
Prof. Dr. Mohamed Abouhawwash , Mansoura University, Egypt
Prof. Dr. Nebojsa Bacanin , Singidunum University, Serbia
Special issue information
The world is undergoing a thoughtful revolution with the arrival of the intelligent
information era. The central realms accompanying smart living such as transportation,
entertainment, healthcare and smart cities are projected to improve service quality assuring
a high-end user experience. Future mobile networks are projected to foster the future of
ubiquitously connected data-intensive intelligent society powered with complete
automation by seamless integrating of all sorts of wireless networks spread over the ground,
underwater, air and space; see, e.g., Ramasamy et al. (2021).
The modern networks must deliver better performance than previous generations to address
the necessities of emerging services and applications. Of late, the Internet of Things (IoT) is
revolutionizing the existing industry into smart infrastructure presented with advanced
data-driven architecture; see, e.g., Jian et al. (2022). Nevertheless, with the insufficiency of
spectrum resources, efficient resource management and sharing are crucial to achieving all
these ambitious requirements. One possible technology to accomplish all this is the
blockchain. Due to its inherent properties, the blockchain has recently attained an important
position, which is of great significance for future networks. Blockchain technology has
attracted significant attention attributable to the decentralization, transparency, spectrum
resource abundance, inherent privacy and security, interoperability, confidentiality and
emerging smart application domains including Industrial IoT and Industry X.0. Especially
the integration of the blockchain in 6G has enabled the network to monitor and manage
resource utilization and sharing efficiently; see, e.g., Almaiah et al. (2022).
Acta Informatica Pragensia Volume 11, 2022
https://doi.org/10.18267/j.aip.177 146
Exploration of blockchain has been emerging in the artificial intelligence (AI) platform to gather sensor
data with the support of high-performance computing networks. The conventional process encompasses
a set of data in a centralized manner and henceforth heterogeneous data from the various sources are
accumulated in the server, leading to central issues in communication. AI-based methods can enhance the
privacy and security issues in the modern wireless paradigm; see, e.g., Nguyen et al. (2021). AI-based
approaches also improve the smart systems' connectivity with increased network capacity, quality of
service, network availability and user experience. In blockchain, each miner has plenty of computing
resources, which could be used for AI training, and smart contract services of blockchain will diminish
the overall costs of smart applications. AI and blockchain have the potential for dynamic resource
management and mobility management in the 6G network; see, e.g., Amjad et al. (2022).
This special issue aims to bring together foremost researchers in academia and engineering from various
backgrounds to disseminate to the technical community an outline of emerging technologies, advanced
architectures, challenges, open issues and future directions of modern networks in AI, IoT, and
blockchain-based applications.
The potential topics include but are not limited to the following:
Sustainable blockchain for network security and communication,
Wireless blockchain sensor network,
Health blockchain for IoT network optimization,
Artificial intelligence and blockchain in advanced network communication,
Deep learning with blockchain for network security,
Socio technology with blockchain,
Blockchain for big data networks,
Blockchain computer vision,
Blockchain for environmental sustainability,
Internet of medical things with blockchain,
IoT in medical diagnosis using blockchain framework,
Blockchain model in intelligent medical diagnosis,
Supervised, unsupervised and reinforcement learning using blockchain models.
Information about special issue editors
Venkatachalam Kandasamy has more than 14 years of academic experience and is
currently working as a senior researcher at the Faculty of Science, University of Hradec
Kralove, Czech Republic. He received his Bachelors degree in Information Technology
in 2005, Master’s in Computer Science and Engineering in 2008, and Ph.D. in Computer
Science and Engineering in 2018. He has published several articles in peer-reviewed
journals and his research interest includes data mining, web services, semantic web
services, distributed computing and cloud computing. He is a Sun Certified SCJP professional and has
obtained Brain Bench certification in various disciplines. He has organized several workshops on J2ME,
advanced Java programming, web services, enterprise computing, web technology and wireless sensor
networks. He has guided a number of research-oriented as well as application-oriented projects organized
by well-known companies such as IBM. He has delivered more than 20 guest lectures on various topics at
reputed engineering colleges.
Acta Informatica Pragensia Volume 11, 2022
https://doi.org/10.18267/j.aip.177 147
Mohamed Abouhawwash is an associate professor at the Department of Mathematics,
Faculty of Science, Mansoura University, Egypt. He received his Master’s and Ph.D.
degrees in statistics and computer science from Mansoura University, Egypt, in 2011
and 2015, respectively. He is a research associate at the Institute for Quantitative Health
Science & Engineering, Michigan State University, USA. His current research interests
include evolutionary algorithms, machine learning, image reconstruction and
mathematical optimization. Dr. Abouhawwash was a recipient of the Best Master’s and Ph.D. thesis
awards from Mansoura University in 2012 and 2018, respectively.
Nebojsa Bacanin is an associate professor and a vice-dean at the Faculty of Informatics
and Computing, Singidunum University, Belgrade, Serbia. He received his Ph.D.
degree from the Faculty of Mathematics, University of Belgrade in 2015. He started his
university career in Serbia 13 years ago at the Graduate School of Computer Science in
Belgrade. He is involved in scientific research in the field of computer science and his
specialty includes stochastic optimization algorithms, swarm intelligence, soft-
computing and optimization and modelling, as well as artificial intelligence
algorithms, machine learning, image processing and cloud and distributed computing. He has published
more than 120 scientific papers in high-quality journals and international conferences indexed in Web of
Science and Scopus. He has also published two books in the domains of cloud computing and advanced
java spring programming. He actively participates in one national and one international project in the
domain of computer science. He has also been included in the prestigious Stanford University list with
2% of best world researchers for the year 2020.
About Acta Informatica Pragensia journal
Acta Informatica Pragensia (ISSN 1805-4951) is a peer-reviewed journal on social and business aspects of
informatics. It covers mainly the theory, application and management of information systems, as well as
interactions between information and communication technologies and people. All articles are published
in DIAMOND OPEN ACCESS. The journal has NO CHARGE for article publication. All accepted
manuscripts have free professional English proofreading.
Abstracting and Indexing: Scopus (Elsevier), DBLP Computer Science Bibliography, RSCI Russian Science
Citation Index, Open J-Gate, CEEOL, ERIH PLUS, DOAJ and other databases.
Acta Informatica Pragensia Volume 11, 2022
https://doi.org/10.18267/j.aip.177 148
Notes for prospective authors
Submitted papers should not have been previously published nor be currently under consideration for
publication elsewhere. All papers must be submitted online. To submit a paper, please read our
Submitting articles page. When you are submitting a manuscript, please select the “Special issue” option
in “Section”. If you have any suggestions or questions regarding the subject matter, please contact the
special issue editor Venkatachalam Kandasamy (venkatachalam.k@ieee.org).
Before submitting your paper, please make sure you carefully read the instructions to authors. The
journal has no strict formatting requirements on submission. There is no restriction on the length of
manuscripts. Accepted articles will be published immediately on the journal website with a digital object
identifier (DOI) prior to the release of the special issue.
Important dates:
Deadline for manuscript submissions: 31 October 2022
Notification to authors within four weeks.
Special issue will be published in December 2022.
Visit the instructions for authors
Submit your paper for peer review online
Relevant references
Almaiah, M. A., Ali, A., Hajjej, F., Pasha, M. F., & Alohali, M. A. (2022). A Lightweight Hybrid Deep Learning Privacy
Preserving Model for FC-Based Industrial Internet of Medical Things. Sensors, 22(6), 2112.
https://doi.org/10.3390/s22062112
Amjad, S., Abbas, S., Abubaker, Z., Alsharif, M. H., Jahid, A., & Javaid, N. (2022). Blockchain Based Authentication and
Cluster Head Selection Using DDR-LEACH in Internet of Sensor Things. Sensors, 22(5), 1972.
https://doi.org/10.3390/s22051972
Jian, M.-S., & Pan, C.-J. (2022). Blockchained Industry Information Handoff Based on Internet of Things Devices with
Intelligent Customized Object Recognition. Sensors, 22(6), 2312. https://doi.org/10.3390/s22062312
Nguyen, D. C., Ding, M., Pathirana, P. N., & Seneviratne, A. (2021). Blockchain and AI-Based Solutions to Combat
Coronavirus (COVID-19)-Like Epidemics: A Survey. IEEE Access, 9, 9573095753.
https://doi.org/10.1109/access.2021.3093633
Ramasamy, L. K., Khan K. P., F., Imoize, A. L., Ogbebor, J. O., Kadry, S., & Rho, S. (2021). Blockchain-Based Wireless
Sensor Networks for Malicious Node Detection: A Survey. IEEE Access, 9, 128765128785.
https://doi.org/10.1109/access.2021.3111923
Acta Informatica Pragensia is published by Prague University of Economics and Business, Czech Republic.
ISSN: 1805-4951
ResearchGate has not been able to resolve any citations for this publication.
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