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Analysis Study Research Paper | Computer Science & Engineering | India | Volume 13 Issue 7, July 2024 | Rating: 4 / 10
Adaptive Caching Techniques for Optimizing Vehicle Performance
Venkata Naga Sai Kiran Challa [5]
Abstract: In the rapidly evolving field of interconnected and autonomous vehicles, adaptive caching plays a pivotal role in enhancing the efficiency of In-Vehicle Information Systems. Caching, initially a computing technique to speed up data access, is now essential for managing the vast amounts of data generated by modern vehicles. By storing frequently accessed data in fast-access memory, adaptive caching reduces latency and improves data retrieval speeds, benefiting self-driving, intelligent, and electric cars. The integration of machine learning into caching strategies has further advanced the system, enabling predictive caching to anticipate data needs based on usage patterns. This approach not only boosts performance but also reduces energy consumption by minimizing unnecessary data exchanges. Key advantages of adaptive caching include increased safety, efficient traffic flow, and improved user experiences. In connected vehicles, caching data from Vehicle-to-Everything V2X communication minimizes latency, providing timely information that enhances road safety. Similarly, electric vehicles benefit from real-time analysis of cached data related to battery status, optimizing power management. Overall, adaptive caching addresses the challenges of contemporary automotive systems, paving the way for smarter, safer, and more efficient vehicles.
Keywords: adaptive caching, autonomous vehicles, data efficiency, predictive caching, V2X communication
Edition: Volume 13 Issue 7, July 2024,
Pages: 807 - 817