Weighted‐Centroid localization using LoRaWAN network on large outdoor areas

• Published in: Internet technology letters Vol. 5; no. 4
• Main Authors: Telles, Guilherme Pazetto, Rayel, Ohara Kerusauskas, Moritz, Guilherme Luiz
• Format: Journal Article
• Language: English
• Published: Chichester, UK John Wiley & Sons, Ltd 01.07.2022
• Subjects: large area; localization; LoRa; weighted centroid
• ISSN: 2476-1508; 2476-1508
• DOI: 10.1002/itl2.367

In this work, we show that simple RSSI algorithms as Weighted Centroid (WC) may have similar performance than machine learning methods to estimate node localization in large areas using LoRaWAN. The results are also compared to previous studies on a database provided from the city of Antwerp. LoRa is a Low Power Wide Area Network (LPWAN) with multiple uses on IoT, including devices localization with low cost and power consumption. In this work, we show that a simple RSSI algorithms as Weighted Centroid (WC) may have similar performance than machine learning methods to estimate node localization in large areas. There l_(p_k) is a function of p_{G_j} weighted by the RSSI.