Service-Centric Heterogeneous Vehicular Network Modeling for Connected Traffic Environments

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.