This article presents a study on the feasibility of implementing a spatial-provenance framework in Vehicle-to-Everything (V2X) networks using ZigBee and LoRa devices. The proposed solution addresses the challenge of balancing the high-localization requirements of Road Side Units (RSUs) and the privacy concerns of vehicles in multi-hop communication. The proposed framework allows vehicles to share a low-precision variant of their coordinates, providing security and network-diagnostic features while preserving privacy. The researchers implemented the underlying protocols on the device stack using correlated Bloom filters and Rake compression algorithms. The demonstration showed that low-to-moderate precision localization can be achieved in fewer packets, making it a promising approach for next-generation vehicular networks.
Publication date: 12 Jan 2024
Project Page: https://arxiv.org/abs/2401.06638v1
Paper: https://arxiv.org/pdf/2401.06638
