A study of the LoRa signal propagation in forest, urban, and suburban environments

Ana Elisa Ferreira (1, 2) , Fernando C Ortiz (2) , Luís Henrique Maciel Kosmalski Costa (2) , Brandon Foubert (3) , Ibrahim Amadou (3) , Nathalie Mitton (3)

1 Federal Technology Education Center Celso Suckow da Fonseca - UneDPetrópolis/CEFET-RJ
2 GTA / UFRJ - Grupo de Teleinformática e Automação [Rio de Janeiro]
3 FUN - Self-organizing Future Ubiquitous Network

Sensing is an activity of paramount importance for smart cities. The coverage of large areas based on reduced infrastructure and low energy consumption is desirable. In this context, Low Power Wide Area Network (LPWAN) plays an important role. In this paper, we investigate LoRa, a low-power technology offering large coverage, but low transmission rates. Radio range and data rate are tunable by using different spreading factors and coding rates, which are configuration parameters of the LoRa physical layer. LoRa can cover large areas but variations in the environment affect link quality. This work studies the propagation of LoRa signals in forest, urban, and suburban vehicular environments. Besides being environments with variable propagation conditions, we evaluate scenarios with node mobility. To characterize the communication link, we mainly use the Received Signal Strength Indicator (RSSI), Signal to Noise Ratio (SNR), and Packet Delivery Ratio (PDR). As for node mobility, speeds are chosen according to prospective applications. Our results show that the link reaches up to 250 m in the forest scenario, while in the vehicular scenario it reaches up to 2 km. In contrast, in scenarios with high-density buildings and human activity, the maximum range of the link reaches up to 200 m in the urban scenario.

Mots clés: Smart cities; Low power wide area networks; Wireless sensor networks; LoRa technology

Domaines: Réseaux et télécommunications [cs.NI]

Ana Elisa Ferreira, Fernando C Ortiz, Luís Henrique Maciel Kosmalski Costa, Brandon Foubert, Ibrahim Amadou, et al.. A study of the LoRa signal propagation in forest, urban, and suburban environments. Annals of Telecommunications - annales des télécommunications, 2020, ⟨10.1007/s12243-020-00789-w⟩. ⟨hal-02907283⟩