Vehicular-NDN: Geo-Anchored Datasets

Abstract

In this paper, we introduce the concept of Geo-Anchored Datasets (GADs) – named datasets constructed from geographical areas where vehicles tend to aggregate due to traffic rules and density, leveraging Named Data Networking (NDN) applied to Vehicular Ad-Hoc Networks (VANETs). These datasets include information from vehicles that pass through the defined area, remain valid for a controlled period, and, within that brief time, require at least one vehicle to be present in the area at any given moment to retain the information. The focus of this work is to present a mechanism for fast and collision-efficient information synchronization under geographical and temporal restrictions. The proposed State Vector Push Protocol (SVPP) creates Geo-Anchored Datasets using an epidemic push-based model and the state vector technique. We also propose two scheduling mechanisms to mitigate the effects of the resulting broadcast storm by dynamically adjusting transmission delays based on vehicle density, reducing collision occurrences. In our most demanding scenario – 112 vehicles in a 4 lane 140m static segment – SVPP achieves under 10 % packet loss, sub-second convergence, and 1 Mbit/s throughput, showing high efficiency even under extreme conditions.