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Intelligent Algorithms for 5G and 6G Wireless Communication Systems

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Electrical, Electronics and Communications Engineering".

Deadline for manuscript submissions: closed (20 July 2023) | Viewed by 4292

Special Issue Editors


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Guest Editor
College of Computer Science and Engineering, University of Hafr Al Batin, Hafar Al Batin 39524, Saudi Arabia
Interests: machine learning; nature-inspired meta-heuristic algorithms; artificial neural networks with an emphasis on deep learning
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Faculty of Natural and Applied Sciences, Sule Lamido University, P.M.B 048, Kafin Hausa, Jigawa State, Nigeria
Interests: spectrum measurements; radio propagation; heterogeneous networks; communication engineering

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Guest Editor
College of Computing and Informatics, Department of Computer Science, University of Sharjah, Sharjah 27272, United Arab Emirates
Interests: distributed computing; machine learning; cloud computing; big data

Special Issue Information

Dear Colleagues,

Intelligent algorithms have emerged that mimic the intelligence behavior of natural phenomenon. The literature has shown that more than 300 global optimization algorithms exist, with many being proposed on a regular basis. The intelligent algorithms have been proven to solve large-scale real-world optimization problems better than conventional approaches in different domain, such as the telecommunication system, internet of medical things, etc. Different parts of the world are currently adopting the 5G wireless communication systems, and research into the future communication systems on the 6G has already begun. Intelligent algorithms, such as the genetic algorithms, particle swarm optimization, deep learning, differential evolutionary, support vector machine, cuckoo search optimization algorithms, explainable artificial intelligence, etc., were found to be applied in different aspects of 5G, such as energy, security, resource management, slicing, quality of service, path loss modeling, etc., to solve practical problems. 

Despite the development recorded by intelligent algorithms to solve problems in 5G and beyond wireless communication systems, a lot of gaps exist that need the research community to focus on explorations of intelligent algorithms in 5G and beyond wireless communication systems. On the other hand, 6G wireless communication systems’ research is at the early stage of development; as such, potential solutions for 6G issues based on intelligent algorithms are required to guide industry practitioners and the academia.  

The main aim of this Special Issue is to collect recent developments exploring intelligent algorithms in 5G and 6G wireless communication systems. Theoretical, original and review/survey articles are welcomed for submission in this Special Issue. 

Topics of interest includes but not limited to: 

  • Swarm optimization algorithm in hybrid 5G services; 
  • Population-based algorithms in 5G fixed wireless;
  • Bio-inspired algorithms for 5G heterogeneous networks; 
  • Nature-inspired algorithms for 5G IoT networks;
  • Internet of medical things; 
  • Natural algorithms for 5G cyber physical systems; 
  • Evolutionary/deep learning in path loss modelling;
  • Expert systems for 5G and 6G; 
  • Artificial intelligence for 5G- and 6G-based smart cities, sustainable cities and urban computing; 
  • Physics- and chemistry-based algorithms in Modulation for 5G;
  • Intelligence techniques for Unmanned Aerial Vehicle (UAV)-nased solutions for 5G and beyond;
  • Fusing blockchain technology in quality of service; 
  • Optimization algorithms for 5G channel models; 
  • Deep learning for 5G-based internet of vehicles;
  • Neural networks and swarm-based algorithms for slicing;
  • Artificial intelligence for 5G ultra-dense networks; 
  • Intelligent algorithms for 5G mobile robots; 
  • Genetic algorithms for 5G MIMO; 
  • Nature-inspired algorithms for 6G. 

Prof. Dr. Haruna Chiroma
Prof. Dr. Nasir Faruk
Dr. Ibrahim Hashem
Guest Editors

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Published Papers (1 paper)

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Research

23 pages, 2855 KiB  
Article
RPL-Based IoT Networks under Simple and Complex Routing Security Attacks: An Experimental Study
by Ibrahim S. Alsukayti and Mohammed Alreshoodi
Appl. Sci. 2023, 13(8), 4878; https://doi.org/10.3390/app13084878 - 13 Apr 2023
Cited by 6 | Viewed by 3379
Abstract
Effective security support still remains a challenge even for a standardized Internet of Things network protocol such as the IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL). It provides limited protection against external security attacks but stays highly vulnerable to internal routing [...] Read more.
Effective security support still remains a challenge even for a standardized Internet of Things network protocol such as the IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL). It provides limited protection against external security attacks but stays highly vulnerable to internal routing attacks. The inherent RPL design of RPL, particularly its topology establishment and maintenance mechanism, makes it easy to initiate such kinds of attacks which target overall network performance and topology stability. Establishing a firm and practical understanding of the impacts of these attacks on RPL networks is still critically needed for further investigation. This is more demanding when considering varying-scale RPL deployments targeted by complex attack scenarios. In this research work, an extensive experimental study of these critical RPL routing attacks considering simple-to-complex attack scenarios in varying-scale RPL network setups is presented. It provides a practical contribution toward experimentally understanding the effectiveness of internal routing attacks when targeting RPL-based IoT networks. The main objective is to provide future research works with a practical reference to the effectiveness of these security attacks and the overall performance of RPL networks under routing attacks. The results indicate the adverse impacts of routing attacks on the overall performance of RPL networks. Even in simple attack scenarios, it was found that the attacked networks experienced noticeable degradation in QoS performance and topology stability. In addition, the attacks incurred considerable increases in energy consumption and control traffic overhead. These were more evident in large-scale experimental setups and also under composite and hybrid routing attacks. QoS performance and topology stability degraded by more than 90% whereas energy consumption and network overhead increased by more than 200%. Full article
(This article belongs to the Special Issue Intelligent Algorithms for 5G and 6G Wireless Communication Systems)
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