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Advances in Blockchain and Edge/Cloud Computing for Internet of Things
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Advances in Blockchain and Edge/Cloud Computing for Internet of Things

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

Deadline for manuscript submissions: closed (20 July 2023) | Viewed by 11803

Special Issue Editors

Dr. Dinh C. Nguyen

E-Mail Website
Guest Editor
Department of Electrical and Computer Engineering, University of Alabama, Huntsville, AL, USA
Interests: wireless networking; federated learning; blockchain; internet of things (IoT); security
Special Issues, Collections and Topics in MDPI journals
Dr. Ons Aouedi

E-Mail Website
Guest Editor
IMT Atlantique, Bretagne-Pays de la Loire Campus de Nantes, 44300 Nantes, France
Interests: machine learning; deep learning; traffic classification; blockchain; wireless communications; networking

Special Issue Information

Dear Colleagues,

Recent years have witnessed the explosion of Internet of Things (IoT) which has reshaped and transformed our lives with various new industrial, consumer, and commercial services and applications. The emergence of blockchain, a data ledger technology, allows for building secure and large-scale IoT systems based on its desirable characteristics of decentralization, accountability, and security. To support computation services in IoT networks, cloud computing and edge computing have been used to improve the system performance and efficiency of service delivery. The combination of blockchain and edge/cloud computing provides a comprehensive IoT ecosystem with high security, efficient computation, and large-scale data storage.

This Special Issue will focus on state-of-the-art technologies, the latest findings, and current challenges in blockchain and edge/cloud computing for IoTs. Original research and review manuscripts within these topics are welcome for submission. This Special Issue is focused on, but not limited to, the following areas:

  • Blockchain designs for IoT applications such as smart healthcare, smart transportation, smart city, smart grids, etc.;
  • Efficient algorithms to improve the performance of blockchain in IoT;
  • Security and privacy mechanisms for blockchain and edge/cloud computing in IoT;
  • New edge/cloud computing frameworks for IoT networks;
  • Optimization designs of blockchain or edge/cloud computing;
  • Intelligent blockchain with machine learning/deep learning in edge/cloud-based IoTs;
  • Blockchain and edge/cloud computing applications for next-generation wireless IoT networks (5G, 6G);
  • Challenges in blockchain or edge/cloud computing adoption in IoTs.

Dr. Dinh C. Nguyen
Dr. Ons Aouedi
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
  • edge computing
  • cloud computing
  • Internet of Things
  • machine learning
  • wireless networks

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Published Papers (2 papers)

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16 pages, 2632 KiB  
Article
Blockchain and Machine Learning Inspired Secure Smart Home Communication Network
by Subhita Menon, Divya Anand, Kavita, Sahil Verma, Manider Kaur, N. Z. Jhanjhi, Rania M. Ghoniem and Sayan Kumar Ray
Sensors 2023, 23(13), 6132; https://doi.org/10.3390/s23136132 - 4 Jul 2023
Cited by 7 | Viewed by 3811
Abstract
With the increasing growth rate of smart home devices and their interconnectivity via the Internet of Things (IoT), security threats to the communication network have become a concern. This paper proposes a learning engine for a smart home communication network that utilizes blockchain-based [...] Read more.
With the increasing growth rate of smart home devices and their interconnectivity via the Internet of Things (IoT), security threats to the communication network have become a concern. This paper proposes a learning engine for a smart home communication network that utilizes blockchain-based secure communication and a cloud-based data evaluation layer to segregate and rank data on the basis of three broad categories of Transactions (T), namely Smart T, Mod T, and Avoid T. The learning engine utilizes a neural network for the training and classification of the categories that helps the blockchain layer with improvisation in the decision-making process. The contributions of this paper include the application of a secure blockchain layer for user authentication and the generation of a ledger for the communication network; the utilization of the cloud-based data evaluation layer; the enhancement of an SI-based algorithm for training; and the utilization of a neural engine for the precise training and classification of categories. The proposed algorithm outperformed the Fused Real-Time Sequential Deep Extreme Learning Machine (RTS-DELM) system, the data fusion technique, and artificial intelligence Internet of Things technology in providing electronic information engineering and analyzing optimization schemes in terms of the computation complexity, false authentication rate, and qualitative parameters with a lower average computation complexity; in addition, it ensures a secure, efficient smart home communication network to enhance the lifestyle of human beings. Full article
(This article belongs to the Special Issue Advances in Blockchain and Edge/Cloud Computing for Internet of Things)
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Review

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24 pages, 4775 KiB  
Review
Intelligent Healthcare: Integration of Emerging Technologies and Internet of Things for Humanity
by Van Anh Dang, Quy Vu Khanh, Van-Hau Nguyen, Tien Nguyen and Dinh C. Nguyen
Sensors 2023, 23(9), 4200; https://doi.org/10.3390/s23094200 - 22 Apr 2023
Cited by 34 | Viewed by 7185
Abstract
Health is gold, and good health is a matter of survival for humanity. The development of the healthcare industry aligns with the development of humans throughout history. Nowadays, along with the strong growth of science and technology, the medical domain in general and [...] Read more.
Health is gold, and good health is a matter of survival for humanity. The development of the healthcare industry aligns with the development of humans throughout history. Nowadays, along with the strong growth of science and technology, the medical domain in general and the healthcare industry have achieved many breakthroughs, such as remote medical examination and treatment applications, pandemic prediction, and remote patient health monitoring. The advent of 5th generation communication networks in the early 2020s led to the Internet of Things concept. Moreover, the 6th generation communication networks (so-called 6G) expected to launch in 2030 will be the next revolution of the IoT era, and will include autonomous IoT systems and form a series of endogenous intelligent applications that serve humanity. One of the domains that receives the most attention is smart healthcare. In this study, we conduct a comprehensive survey of IoT-based technologies and solutions in the medical field. Then, we propose an all-in-one computing architecture for real-time IoHT applications and present possible solutions to achieving the proposed architecture. Finally, we discuss challenges, open issues, and future research directions. We hope that the results of this study will serve as essential guidelines for further research in the human healthcare domain. Full article
(This article belongs to the Special Issue Advances in Blockchain and Edge/Cloud Computing for Internet of Things)
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