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An edge communication based probabilistic caching for transient content distribution in vehicular networks
Divya Gupta1, Shalli Rani2, Basant Tiwari3
1Department of Computer Science and Engineering, Chandigarh University, Mohali, 140413, India.
Scientific Reports
|March 3, 2023
Summary
This study enhances vehicular content networks (VCNs) by optimizing transient content caching using edge communication. The proposed model improves content delivery for vehicular infotainment applications.
Area of Science:
- Vehicular communication networks
- Distributed systems
- Edge computing
Background:
- Vehicular Content Networks (VCNs) enable distributed content distribution for vehicular infotainment.
- Limited caching capacity in On-Board Units (OBUs) and Road-Side Units (RSUs) restricts content availability.
- Transient content demands in VCNs pose challenges for timely delivery.
Purpose of the Study:
- To address transient content caching challenges in VCNs using edge communication.
- To propose a novel scheme for efficient content distribution in VCNs.
- To improve delay-free services for vehicular infotainment.
Main Methods:
- Organized a region-based classification for vehicular network components (RSUs and OBUs).
- Designed a theoretical model for vehicles to determine optimal content fetching locations (RSU or OBU, current or neighboring regions).
- Implemented a content caching probability mechanism for transient contents within network components.
Main Results:
- The proposed scheme demonstrated outstanding performance in simulations.
- Evaluated under various network conditions using the Icarus simulator.
- Outperformed existing state-of-the-art caching strategies.
Conclusions:
- The developed edge communication approach effectively manages transient content caching in VCNs.
- The proposed model enhances content delivery efficiency and reduces latency.
- This research offers a robust solution for vehicular infotainment services.
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