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Fully Integrated Data Communication Framework by Using Visualization Augmented Reality for Internet of Things

Kashif Naseer Qureshi1, Adi Alhudhaif2, Raja Waseem Anwar3

  • 1Department of Computer Science, Bahria University, Islamabad, Pakistan.

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Summary
This summary is machine-generated.

This study introduces a Visualization Augmented Reality framework for Internet of Things (IoT) networks, addressing challenges like network delay. The proposed model, using edge computing and 5G, enhances IoT system performance for smart applications.

Keywords:
5GARCloud ServicesIoTapplicationdelayedge computing

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Area of Science:

  • Internet of Things (IoT)
  • Augmented Reality (AR)
  • Edge Computing
  • 5G Networks

Background:

  • IoT networks are increasingly popular for smart applications, relying on data communication and sensor nodes.
  • Augmented Reality (AR) integration in IoT offers 3D visualization and interactive control but faces computational and network challenges.
  • Existing IoT-AR systems suffer from complex processing, computation issues, and network degradation, hindering performance.

Purpose of the Study:

  • To present a comprehensive overview of IoT and AR technologies.
  • To propose an efficient data communication model for IoT-AR integration.
  • To introduce a Visualization Augmented Reality framework for IoT (VAR-IoT) networks.

Main Methods:

  • Utilizing edge computing and Fifth-Generation (5G) platforms for faster data communication.
  • Developing a Visualization Augmented Reality framework for IoT (VAR-IoT) with integrated communication, sensing, and actuating features.
  • Evaluating the proposed network model through simulations focusing on response time and network delay.

Main Results:

  • The proposed model demonstrates improved convenience and speed in data communication.
  • The VAR-IoT framework offers enhanced control over objects within IoT networks.
  • Simulation results indicate better performance in terms of application response time and reduced network delay compared to existing systems.

Conclusions:

  • The integration of edge computing and 5G significantly enhances IoT-AR system performance.
  • The proposed VAR-IoT framework provides a viable solution to overcome the limitations of current IoT-AR implementations.
  • This research contributes to more efficient and responsive smart home and smart industry applications.