LoRa System for Search and Rescue: Path-Loss Models and Procedures in Mountain Scenarios

Abstract

Typical mountain Search and Rescue (SaR) operations require the localization of the persons involved in accidents in harsh environments. ARVA and RECCO are the current standards for the localization in snowy environments although their radio range is limited to some tens of meters. In this article, we prove by experimental results that the long-range (LoRa) low-power wide-area network (LPWAN) technology is very promising for SaR applications due to its extended radio range. A LoRa-based system for SaR operations is presented and analyzed. The localization of the persons is obtained through an algorithm based on path-loss (PL) measurements. Radio PL models of body-worn LoRa devices in harsh mountain environments are derived by measurements. We observed that although the communication range of LoRa decreases from kilometers to hundreds of meters in the tested environments, at least 50% of the transmitted packets can be received at distances about five times greater than those achievable with golden standard technologies such as ARVA. The performances of the considered localization algorithm are analyzed on the basis of the collected data. The achievable accuracy is in the order of meters around the true position for a relatively large number of available PL measurements. Finally, we propose and detail a LoRa-based system for SaR operations.