Optimization of network topology robustness in IoTs: A systematic review

Internet of Things (IoT) has emerged as one of the most promising technologies of the modern era, enabling connectivity between devices and systems for efficient data exchange and enhanced user experience. However, the optimization of IoT networks remains a significant challenge due to the complexit...

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Published in:Computer networks (Amsterdam, Netherlands : 1999) Vol. 250; p. 110568
Main Authors: Changazi, Sabir Ali, Bakhshi, Asim Dilawar, Yousaf, Muhammad, Mohsin, Syed Muhammad, Akber, Syed Muhammad Abrar, Abazeed, Mohammed, Ali, Mohammed
Format: Journal Article
Language:English
Published: Elsevier B.V 01.08.2024
Subjects:
Artificial intelligence
Challenges in IoT optimization
Genetic and predictive algorithms
Intelligent solutions
Internet of Things (IoT)
Optimized networks
Topology robustness
Internet of Things (IoT)
Topology robustness
Optimized networks
Intelligent solutions
Genetic and predictive algorithms
Artificial intelligence
Challenges in IoT optimization
ISSN:1389-1286, 1872-7069
Online Access:Get full text
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Abstract Internet of Things (IoT) has emerged as one of the most promising technologies of the modern era, enabling connectivity between devices and systems for efficient data exchange and enhanced user experience. However, the optimization of IoT networks remains a significant challenge due to the complexity of the interconnected devices and systems. To overcome this challenge, various techniques to optimize networks and algorithms for enhancing the robustness of the network topology have been proposed. Artificial intelligence is also used to achieve the robustness of network topologies in IoT through AI-driven predictive analytic. This article reviews the state-of-the-art optimization techniques and algorithms for topology robustness in IoT networks, highlighting the open issues and challenges in this field. The article begins by providing an overview of IoT network optimization and the need for topology robustness. It then discusses various optimization algorithms proposed in recent years, such as particle swarm optimization, memetic algorithms and genetic algorithms, among others. The article also highlights the key challenges in optimizing IoT networks, such as scalability, resource constraints, and security issues. Moreover, the article explores the open issues in this field, such as the lack of standardization and interoperability between devices and systems, which hinder the development of optimal solutions. Finally, the article identifies specific research directions in the area of topology robustness, emphasizing the vital factors to consider enhanced robustness for IoT networks. Additionally, the article discusses the enhancements for intelligent solutions, like smart cities and modern healthcare systems, which can further improve the optimization of IoT networks.
AbstractList Internet of Things (IoT) has emerged as one of the most promising technologies of the modern era, enabling connectivity between devices and systems for efficient data exchange and enhanced user experience. However, the optimization of IoT networks remains a significant challenge due to the complexity of the interconnected devices and systems. To overcome this challenge, various techniques to optimize networks and algorithms for enhancing the robustness of the network topology have been proposed. Artificial intelligence is also used to achieve the robustness of network topologies in IoT through AI-driven predictive analytic. This article reviews the state-of-the-art optimization techniques and algorithms for topology robustness in IoT networks, highlighting the open issues and challenges in this field. The article begins by providing an overview of IoT network optimization and the need for topology robustness. It then discusses various optimization algorithms proposed in recent years, such as particle swarm optimization, memetic algorithms and genetic algorithms, among others. The article also highlights the key challenges in optimizing IoT networks, such as scalability, resource constraints, and security issues. Moreover, the article explores the open issues in this field, such as the lack of standardization and interoperability between devices and systems, which hinder the development of optimal solutions. Finally, the article identifies specific research directions in the area of topology robustness, emphasizing the vital factors to consider enhanced robustness for IoT networks. Additionally, the article discusses the enhancements for intelligent solutions, like smart cities and modern healthcare systems, which can further improve the optimization of IoT networks.
ArticleNumber 110568
Author Abazeed, Mohammed
Akber, Syed Muhammad Abrar
Changazi, Sabir Ali
Yousaf, Muhammad
Ali, Mohammed
Mohsin, Syed Muhammad
Bakhshi, Asim Dilawar
Author_xml – sequence: 1
  givenname: Sabir Ali
  surname: Changazi
  fullname: Changazi, Sabir Ali
  email: mysabir.changazi@gmail.com
  organization: Riphah Institute of Systems Engineering (RISE), Riphah International University, Islamabad, 47000, Pakistan
– sequence: 2
  givenname: Asim Dilawar
  surname: Bakhshi
  fullname: Bakhshi, Asim Dilawar
  email: asim.dilawar@mcs.edu.pk
  organization: Military College of Signals (MCS), National University of Sciences & Technology (NUST), 46000, Pakistan
– sequence: 3
  givenname: Muhammad
  surname: Yousaf
  fullname: Yousaf, Muhammad
  email: muhammad.yousaf@riphah.edu.pk
  organization: Riphah Institute of Systems Engineering (RISE), Riphah International University, Islamabad, 47000, Pakistan
– sequence: 4
  givenname: Syed Muhammad
  surname: Mohsin
  fullname: Mohsin, Syed Muhammad
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  givenname: Syed Muhammad Abrar
  orcidid: 0000-0002-8863-2568
  surname: Akber
  fullname: Akber, Syed Muhammad Abrar
  email: abrar.akber@polsl.pl
  organization: Department of Computer Graphics, Vision and Digital Systems, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, 44-100 Gliwice, Poland
– sequence: 6
  givenname: Mohammed
  surname: Abazeed
  fullname: Abazeed, Mohammed
  email: mzabazyad@kku.edu.sa
  organization: Department of Computer Science, King Khalid University, Abha 61421, Kingdom of Saudi Arabia
– sequence: 7
  givenname: Mohammed
  surname: Ali
  fullname: Ali, Mohammed
  email: mabood@kku.edu.sa
  organization: Department of Computer Science, King Khalid University, Abha 61421, Kingdom of Saudi Arabia
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Keywords Internet of Things (IoT)
Topology robustness
Optimized networks
Intelligent solutions
Genetic and predictive algorithms
Artificial intelligence
Challenges in IoT optimization
Language English
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Snippet Internet of Things (IoT) has emerged as one of the most promising technologies of the modern era, enabling connectivity between devices and systems for...
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StartPage 110568
SubjectTerms Artificial intelligence
Challenges in IoT optimization
Genetic and predictive algorithms
Intelligent solutions
Internet of Things (IoT)
Optimized networks
Topology robustness
Title Optimization of network topology robustness in IoTs: A systematic review
URI https://dx.doi.org/10.1016/j.comnet.2024.110568
Volume 250
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