Improving Content Retrieval in Vehicular NDN Using the Chinese Remainder Theorem

By leveraging data-centric forwarding and in-network caching, Vehicular Named Data Networking (VNDN) enhances communication in vehicular networks. However, advanced techniques are still required to support effective data retrieval while handling error-prone wireless channels, short-lived contacts and intermittent connectivity. In this paper, we introduce a mechanism based on the Chinese Remainder Theorem (CRT), which fragments content into smaller redundant pieces, enabling efficient content caching and retrieval even in lossy environments. Simulation results in a highway scenario demonstrate improved data accessibility, scalability, and reduced retrieval delays, highlighting the potential of CRT to enhance VNDN performance under dynamic conditions.