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Applied Sciences
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Next-Generation of Internet of Things (IoT): New Advances, Solutions, Applications,...
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Next-Generation of Internet of Things (IoT): New Advances, Solutions, Applications, Services and Challenges

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".

Deadline for manuscript submissions: 20 August 2024 | Viewed by 3226

Special Issue Editors

Dr. David Sarabia-Jácome

E-Mail Website
Guest Editor
i2CAT Internet Research Center, 08034 Barcelona, Spain
Interests: IoT; artificial intelligence; edge computing; SDN
Prof. Dr. Carlos Enrique Palau Salvador

E-Mail Website
Guest Editor
Communications Department, Universitat Politècnica de València, 46022 Valencia, Spain
Interests: IoT; EdgeAI; interoperability; edge computing; 5G/6G; SDN; networking
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The next generation of IoT is emerging based on the convergence of key enablers such as Artificial Intelligence (IA), blockchain, edge computing, and 5G/6G networks. The IoT evolution is characterized by innovative and secure applications with embedded intelligence at the edge that relies on reliable and ultra-low latency connectivity, processing capabilities at the network's edge, real-time data processing, and predictive analytics. The next generation of IoT networks is expected to support a growing number of Intelligent IoT devices and tactile Internet solutions to provide real-time applications. New architectures and protocols are required to facilitate the large-scale deployment of IoT devices and manage network resources. These new solutions rely on the Software Defined-Networking (SDN), Network Function Virtualization (NFV), and Edge–Fog–Cloud Continuum concepts to support scalable IoT applications. Moreover, emerging distributed IA techniques such as decentralized and federated learning will allow for faster AI model training with minimum computation and network resource allocation. Considering the IA above approaches, new solutions are required to integrate the IoT architectures effectively.

This Special Issue aims to bring together academia and industrial researchers to propose new IoT architectures and present innovative solutions, applications, and services for addressing the next generation of IoT challenges. This Special Issue will publish high-quality, original research papers. The potential topics of interest include, but are not limited to, the following:

  • Cloud, Edge, and Fog for the IoT.
  • IoT applications and services.
  • Industrial 4.0 and Industrial IoT (IIoT).
  • Machine/Deep Learning for IoT applications.
  • Next Generation Infrastructure for IoT.
  • Blockchain for IoT.
  • IoT big data and analytics.
  • IoT 5G/6G slice management.
  • IoT orchestration.
  • Network Function Virtualization (NFV) for IoT.
  • Software-Defined Networking (SDN) for IoT.
  • Architecture and protocols for IoT.
  • Distributed Artificial Intelligence for IoT, Federation Learning, and Edge IA.
  • Green Communication and IoT.
  • Visual Light Communications for IoT.
  • Ambient Intelligence.

Dr. David Sarabia-Jácome
Prof. Dr. Carlos Enrique Palau Salvador
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. Applied Sciences 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 2400 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

  • next-generation IoT
  • SDN
  • IA
  • blockchain
  • 5G
  • network slicing
  • network architecture
  • IoT applications
  • edge computing
  • federated learning

Published Papers (3 papers)

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22 pages, 1264 KiB  
Article
FeRHA: Fuzzy-Extractor-Based RF and Hardware Fingerprinting Two-Factor Authentication
by Mona Alkanhal, Mohamed Younis, Abdulaziz Alali and Suhee Sanjana Mehjabin
Appl. Sci. 2024, 14(8), 3363; https://doi.org/10.3390/app14083363 - 16 Apr 2024
Viewed by 145
Abstract
The Internet of Things (IoT) reflects the internetworking of numerous devices with limited computational capabilities. Given the ad-hoc network formation and the dynamic nature of node membership, secure device authentication mechanisms are critical. This paper proposes a novel two-factor authentication protocol for IoT [...] Read more.
The Internet of Things (IoT) reflects the internetworking of numerous devices with limited computational capabilities. Given the ad-hoc network formation and the dynamic nature of node membership, secure device authentication mechanisms are critical. This paper proposes a novel two-factor authentication protocol for IoT devices. The protocol integrates physical unclonable functions (PUFs) and radio frequency fingerprints (RFFs), providing a unique identification method for each device. Compared with existing PUF-based schemes, the proposed protocol facilitates the mutual authentication of two devices without the need for a trusted third party. Our design is resilient to the intrinsic noise associated with PUFs and RFFs, ensuring reliable authentication, even under various operational conditions. Furthermore, we have implemented an obfuscation technique to secure shared authentication data against eavesdropping attempts aimed at modeling the security primitive, i.e., the PUF, through machine learning algorithms. We have validated the performance of our protocol and demonstrated its efficacy against various security threats, including impersonation, message replay, and PUF modeling attacks. Notably, the validation results indicate that predicting any given PUF response bit’s accuracy does not exceed 56%, making it as unpredictable as a random guess. Full article
(This article belongs to the Special Issue Next-Generation of Internet of Things (IoT): New Advances, Solutions, Applications, Services and Challenges)
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23 pages, 2428 KiB  
Article
Progressive Adoption of RINA in IoT Networks: Enhancing Scalability and Network Management via SDN Integration
by David Sarabia-Jácome, Sergio Giménez-Antón, Athanasios Liatifis, Eduard Grasa, Marisa Catalán and Dimitrios Pliatsios
Appl. Sci. 2024, 14(6), 2300; https://doi.org/10.3390/app14062300 - 09 Mar 2024
Viewed by 472
Abstract
Thousands of devices are connected to the Internet as part of the Internet of Things (IoT) ecosystems. The next generation of IoT networks is expected to support this growing number of Intelligent IoT devices and tactile Internet solutions to provide real-time applications. In [...] Read more.
Thousands of devices are connected to the Internet as part of the Internet of Things (IoT) ecosystems. The next generation of IoT networks is expected to support this growing number of Intelligent IoT devices and tactile Internet solutions to provide real-time applications. In view of this, IoT networks require innovative network architectures that offer scalability, security, and adaptability. The Recursive InterNetwork Architecture (RINA) is a clean slate network architecture that provides a scalable, secure, and flexible framework for interconnecting computers. SDN technology is becoming a de facto solution to overcome network requirements, making RINA adoption difficult. This paper presents an architecture for integrating RINA with SDN technologies to lower the barriers of adopting RINA in IoT environments. The architecture relies on a RINA-based distributed application facility (DAF), a RINA southbound driver (SBI), and the RINA L2VPN. The RINA-based DAF manages RINA nodes along the edge–fog–cloud continuum. The SBI driver SDN enables the hybrid centralized management of SDN switches and RINA nodes. Meanwhile, the RINA L2VPN allows seamless communication between edge nodes and the cloud to facilitate the data exchange between network functions (NFs). Such integration has enabled a progressive deployment of RINA in current IoT networks without affecting their operations and performance. Full article
(This article belongs to the Special Issue Next-Generation of Internet of Things (IoT): New Advances, Solutions, Applications, Services and Challenges)
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24 pages, 1730 KiB  
Article
An Advanced Strategy for Addressing Heterogeneity in SDN-IoT Networks for Ensuring QoS
by Abuzar Zafar, Fahad Samad, Hassan Jamil Syed, Ashraf Osman Ibrahim, Manar Alohaly and Muna Elsadig
Appl. Sci. 2023, 13(13), 7856; https://doi.org/10.3390/app13137856 - 04 Jul 2023
Cited by 1 | Viewed by 1798
Abstract
The internet of things (IoT) is a complex system that includes multiple technologies and services. However, its heterogeneity can result in quality-of-service (QoS) issues, which may lead to security challenges. Software-defined network (SDN) provides unique solutions to handle heterogeneity issues in large-scale IoT [...] Read more.
The internet of things (IoT) is a complex system that includes multiple technologies and services. However, its heterogeneity can result in quality-of-service (QoS) issues, which may lead to security challenges. Software-defined network (SDN) provides unique solutions to handle heterogeneity issues in large-scale IoT networks. Combining SDN with IoT networks has great potential for addressing extreme heterogeneity issues in IoT networks. Numerous researchers are investigating various techniques to resolve heterogeneity issues in IoT networks by integrating SDN. Our study focuses on the SDN-IoT domain to improve QoS by addressing heterogeneity. Heterogeneity in SDN-IoT networks can increase the response time of controllers. We propose a framework that can alleviate heterogeneity while maintaining QoS in SDN-IoT networks. The framework converts m heterogeneous controllers into n homogeneous groups based on their response time. First, we examine the impact of the controller’s bandwidth and find that the system throughput decreases when the controller’s bandwidth is lowered. Next, we implement a simple strategy that considers both the bandwidth and service time when selecting the peer controller. Our results show some improvement in the framework, indicating its potential to alleviate heterogeneity while maintaining QoS and other metrics. Full article
(This article belongs to the Special Issue Next-Generation of Internet of Things (IoT): New Advances, Solutions, Applications, Services and Challenges)
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