Hybrid Task Coordination Using Multi-Hop Communication in Volunteer Computing-Based VANETs.

Area of Science:

• Computer Science
• Networking
• Vehicular Technology

Background:

• Computation offloading is crucial for vehicles with computation-intensive tasks.
• Volunteer Computing-Based Vehicular Ad-hoc Networking (VCBV) utilizes vehicle-as-a-resource (VaaR) for task execution.
• Existing VCBV systems primarily use offloading for delay-sensitive applications.

Purpose of the Study:

• To propose a hybrid VCBV task coordination model for efficient resource utilization during traffic congestion.
• To develop algorithms for determining boundary relay vehicles to reduce roadside unit (RSU) dependency.
• To enhance system utility and meet latency constraints in vehicular networks.

Main Methods:

• A hybrid VCBV task coordination model is proposed for multi-hop resource utilization.
• Algorithms are developed for identifying optimal boundary relay vehicles.
• Primary and secondary task coordination algorithms are designed for the hybrid VCBV system.

Main Results:

• The hybrid VCBV task coordination model demonstrates increased system utility.
• Latency constraints for delay-sensitive applications are effectively addressed.
• Reduced reliance on multiple roadside units (RSUs) is achieved through optimized vehicle relaying.

Conclusions:

• The proposed hybrid VCBV model offers an efficient solution for computation offloading in vehicular networks.
• The multi-hop coordination strategy enhances resource utilization and performance.
• The algorithms contribute to optimizing vehicular network infrastructure and service delivery.