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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Vydáno v:Computer networks (Amsterdam, Netherlands : 1999) Ročník 250; s. 110568
Hlavní autoři: Changazi, Sabir Ali, Bakhshi, Asim Dilawar, Yousaf, Muhammad, Mohsin, Syed Muhammad, Akber, Syed Muhammad Abrar, Abazeed, Mohammed, Ali, Mohammed
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier B.V 01.08.2024
Témata:
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
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Shrnutí: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.
ISSN:1389-1286
1872-7069
DOI:10.1016/j.comnet.2024.110568