The Internet of Things’ (IOT) Dynamic Evolution

The Internet of Things (IoT) has revolutionized the way physical devices, appliances, vehicles, and objects interact and exchange data over the Internet. This paper provides a comprehensive overview of IoT, covering its architectural development, deployment, and various application domains such as healthcare, agriculture, industry 4.0, and smart cities. The integration of machine learning (ML) and artificial intelligence (AI) in IoT is also discussed, highlighting the benefits of enhanced data analysis, improved efficiency, and autonomy. The challenges in IoT architecture, including scalability, interoperability, security, privacy, reliability, and low latency concerns are addressed, alongside future trends such as blockchain technology, augmented reality (AR) and virtual reality (VR) integration, quantum computing, and the Internet of Everything (IoE). Overall, this paper provides valuable insights into the current state and future prospects of IoT, making it a valuable resource to gain meaningful insights.

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Publication Details

Published
2024-11-26
DOI
https://doi.org/10.1109/nigercon62786.2024.10927019
Primary Topic
Evolutionary Algorithms and Applications
Type
article
Field-Weighted Citation Impact
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article

The Internet of Things’ (IOT) Dynamic Evolution

Ugochukwu Nnamdi, Ifeoma B. Asianuba
Evolutionary Algorithms and Applications
article

The Internet of Things’ (IOT) Dynamic Evolution

Ugochukwu Nnamdi, Ifeoma B. Asianuba
article en

Abstract

The Internet of Things (IoT) has revolutionized the way physical devices, appliances, vehicles, and objects interact and exchange data over the Internet. This paper provides a comprehensive overview of IoT, covering its architectural development, deployment, and various application domains such as healthcare, agriculture, industry 4.0, and smart cities. The integration of machine learning (ML) and artificial intelligence (AI) in IoT is also discussed, highlighting the benefits of enhanced data analysis, improved efficiency, and autonomy. The challenges in IoT architecture, including scalability, interoperability, security, privacy, reliability, and low latency concerns are addressed, alongside future trends such as blockchain technology, augmented reality (AR) and virtual reality (VR) integration, quantum computing, and the Internet of Everything (IoE). Overall, this paper provides valuable insights into the current state and future prospects of IoT, making it a valuable resource to gain meaningful insights.

University of Port Harcourt (NG)
Openalex Percentile: Top 74%
Evolutionary Algorithms and Applications
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