Wireless Communications and Mobile Computing

Theories, Technologies, and Applications of Artificial Intelligence in Cloud-Based Internet of Things


Publishing date
01 Jul 2022
Status
Closed
Submission deadline
11 Mar 2022

Lead Editor

1Taif University, Taif, Saudi Arabia

2MIT World Peace University, Pune, India

3International Islamic University Malaysia, Gombak, Malaysia

This issue is now closed for submissions.

Theories, Technologies, and Applications of Artificial Intelligence in Cloud-Based Internet of Things

This issue is now closed for submissions.

Description

The rapid growth in wireless communication technologies has led to the development of the Internet of Things (IoT) and the optimization of many smart applications and technologies to meet the requirements of users. The use of artificial intelligence (AI) methods in cloud-based Internet of things applications is important for making services and social interaction processes more intelligent. Smart and high-performance cloud-based Internet of Things (C-IoT) technologies have the ability to accurately identify patterns and predict operational processes, especially in industrial and self-adapting applications.

One of the most important challenges facing the smart C-IoT is how to improve the smart sensing, analysis, and management of big data. In addition, confidentiality of information and security of operations on wireless networks is one of the greatest challenges facing IoT applications. The use of artificial intelligence (AI) and its integration with wireless communication environments has several benefits, including the ability to provide smart services and automate various processes in C-IoT applications. It also helps improve the high-performance of C-IoT-based communication systems.

This Special Issue aims to present a number of basic concepts and theoretical analyses for smart IoT technologies and a set of applications that depend on the use of artificial intelligence methods, in addition to high-performance C-IoT structures. The main topics of the Special Issue will cover modern technologies for IoT networks, systems, transmission infrastructure, and data exchange. We welcome work that envisions the use of AI-powered mechanisms in a number of applications and future wireless network architectures. These will contribute to major new technological developments in this field of smart and high-performance C-IoT and current research trends in the industrial and service fields. We hope to collect a balance of theoretical and analytical issues, and to cover the analysis and evaluation of original and novel studies in the field, especially in the use of artificial intelligence-based cloud applications in IoT networks. We welcome both original research and review articles.

Potential topics include but are not limited to the following:

  • High-performance cloud-based IoT technologies, architectures, theories, and transmission
  • Cloud-based IoT security and privacy preservation and anomaly detection based on deep learning
  • Artificial Intelligent based C-IoT Systems, networks, and smart applications
  • Cloud, edge, and fog computing-based AI in the IoT
  • C-IoT data analytics based on AI technologies
  • Artificial intelligence-based low power wide area network (LPWAN) technologies and narrowband IoT (NB-IoT)
  • Quality of service (QoS) and quality of experience (QoE) for C-IoT services
  • AI-based cloud-based Internet of Underwater Things communications
  • Machine learning for industrial C-IoT
  • Machine learning and deep learning in cloud-based Internet of Vehicles (IoV)
  • Optimization algorithms and resource management in C-IoV, C-IoT, and cloud-based Internet of unmanned arial vehicles (C-IoUAV)
  • Machine learning in cyber-physical systems and its applications in C-IoT
  • Scalability for infrastructure as a service (IaaS), platform as a Service (PaaS), and software as a service (SaaS) C-IoT
  • Artificial intelligence-based cognitive radio in C-IoT, system design, spectrum sharing, and management models, and blockchain- enabled CR for cloud-based IoT systems
  • Provisioning software-defined IoT cloud systems and IoT applications with Python-based cloud simulators (PCS)
  • Cloud-based network virtualization in IoT
  • AI architectures for IoT applications and scenarios and AI accuracy
  • Large-scale training of AI models and feasibility of AI-based complex environments with multi-players
  • Trust, privacy, and explainability of AI models for C-IoT

Articles

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  • - Article ID 9874282
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Retracted: Wireless Network Virtualization Resource Sharing Based on Dynamic Resource Allocation Algorithm

Wireless Communications and Mobile Computing
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  • - Volume 2023
  • - Article ID 9848794
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Retracted: Indoor and Outdoor Seamless Positioning Technology Based on Artificial Intelligence and Intelligent Switching Algorithm

Wireless Communications and Mobile Computing
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  • - Volume 2023
  • - Article ID 9872963
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Retracted: Intelligent Construction and Mechanism of Educational Big Data Information for Resource Sharing

Wireless Communications and Mobile Computing
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  • - Article ID 9758323
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Retracted: Operation and Management Strategy of Online Car-Hailing Platforms Based on Big Data Diagnosis and Game Perspective

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  • - Article ID 9762349
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Retracted: Image Model and Algorithm of Human Resource Optimal Configuration Based on FPGA and Microsystem Analysis

Wireless Communications and Mobile Computing
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  • - Volume 2023
  • - Article ID 9860715
  • - Retraction

Retracted: Renovated XTEA Encoder Architecture-Based Lightweight Mutual Authentication Protocol for RFID and Green Wireless Sensor Network Applications

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  • - Volume 2023
  • - Article ID 9814502
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Retracted: Rural Financial Decision Support System Based on Database and Genetic Algorithm

Wireless Communications and Mobile Computing
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  • - Volume 2023
  • - Article ID 9875148
  • - Retraction

Retracted: Attribute Reduction Algorithm on Concept Lattice and Application in Smart City Energy Consumption Analysis

Wireless Communications and Mobile Computing
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  • - Article ID 9895103
  • - Retraction

Retracted: Brand Marketing Decision Support System Based on Computer Vision and Parallel Computing

Wireless Communications and Mobile Computing
Wireless Communications and Mobile Computing
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