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Related Experiment Video

Updated: Oct 3, 2025

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
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Service-Centric Heterogeneous Vehicular Network Modeling for Connected Traffic Environments.

Ahmad M Khasawneh1, Mamoun Abu Helou2, Aanchal Khatri3

  • 1Department of Cybersecurity, Amman Arab University, Amman 11953, Jordan.

Sensors (Basel, Switzerland)
|February 15, 2022
PubMed
Summary

This study introduces a novel heterogeneous network model for the Internet of Vehicles (IoV) to optimize smart transportation services. The model enhances vehicular communication and decision-making in complex, integrated road traffic environments.

Keywords:
Internet of ThingsInternet of connected vehiclesheterogeneous networkingheterogeneous vehicular communicationvehicular ad hoc networks

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Area of Science:

  • Computer Science
  • Networking
  • Transportation Engineering

Background:

  • Vehicular communication is evolving towards the Internet of Vehicles (IoV) to support smart transportation.
  • Existing vehicular ad hoc networks struggle with the integration of diverse communication technologies in road traffic environments.
  • There is a research gap in network optimization for heterogeneous vehicular communication.

Purpose of the Study:

  • To propose a novel heterogeneous network model for the Internet of Vehicles (IoV).
  • To introduce a service-oriented approach for network optimization in heterogeneous IoV environments.
  • To address the limitations of current vehicular communication architectures in integrated road traffic systems.

Main Methods:

  • Development of a heterogeneous network model comprising vehicular cloud, heterogeneous communication, and smart use cases (clients).
  • Implementation of service-oriented network optimization strategies.
  • Focus on data-oriented computations at cloud servers for intelligent decision-making.
  • Enabling handoff-centric network communication within the model.

Main Results:

  • The proposed model demonstrates service benefits in heterogeneous vehicular communication environments.
  • Validation through testing against various service-oriented metrics.
  • Successful integration of vehicular cloud, communication, and client services.
  • Highlighting the feasibility of optimized smart traffic services.

Conclusions:

  • The developed heterogeneous network model offers a viable solution for optimizing IoV environments.
  • Service-oriented optimization is crucial for enhancing smart transportation in heterogeneous vehicular networks.
  • The model provides a foundation for future research into advanced IoV applications and challenges.