Taormina: A LoRa-based localization scheme for smart road scenarios

Abstract

Accurate localization of people and assets is crucial in several application scenarios including smart roads. In this paper the Taormina localization scheme is presented which uses information collected by a LoRa network. More specifically the objective of Taormina is to accurately identify the location of a vehicle, equipped with a LoRa node, travelling along a known path which is divided into segments of length equal to or shorter than the desired accuracy. Values of the RSSI measured by the LoRa gateways are collected and used to characterize each of the above segments. The node that wants to be located periodically transmits LoRa messages. The LoRa gateways evaluate the corresponding RSSIs and use such values to identify the segment where the vehicle is currently located. Therefore, in Taormina localization is addressed as a classification problem. Early results demonstrate that Taormina can deliver the target localization accuracy with high probability.