On the Design of Efficient Hierarchic Architecture for Software Defined Vehicular Networks

Area of Science:

• Computer Science
• Network Engineering
• Telecommunications

Background:

• Vehicular ad hoc networks (VANETs) face challenges in traffic management and Quality of Service (QoS).
• Modern vehicles utilize sensors and onboard units for communication and routing.
• Existing VANET architectures require efficient QoS solutions.

Purpose of the Study:

• To design an efficient Software-Defined Networking (SDN)-based architecture for VANETs.
• To address and improve the Quality of Service (QoS) in VANETs.
• To develop and evaluate a priority-based scheduling algorithm for traffic flow management.

Main Methods:

• Implemented an SDN-based architecture focusing on VANET QoS.
• Developed a priority-based scheduling algorithm with distinct queues for safety and non-safety messages.
• Utilized the New Deadline and Size of data (NDS) method for prioritizing safety messages based on deadline and size, with location and deadline constraints.
• Employed the First Come First Serve (FCFS) method for non-safety messages.
• Simulated the proposed algorithm using the CloudSim toolkit.

Main Results:

• The priority-based scheduling algorithm effectively manages traffic flow in VANETs.
• Safety messages demonstrated superior performance compared to non-safety messages in terms of execution time during simulations.
• The NDS method proved effective in prioritizing critical safety information.

Conclusions:

• The proposed SDN-based architecture with a priority-based scheduling algorithm significantly enhances QoS in VANETs.
• Prioritizing safety messages is crucial for efficient and reliable vehicular communication.
• The simulation results validate the effectiveness of the proposed approach in improving execution time for safety-critical data.