Comparing and Adapting Propagation Models for LoRa Networks
| Autor: | Ousmane Thiare, Ousmane Dieng, Congduc Pham |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
LPWAN
Computer science Wireless network 020208 electrical & electronic engineering 020206 networking & telecommunications 02 engineering and technology computer.software_genre Data set Set (abstract data type) Radio propagation 0202 electrical engineering electronic engineering information engineering Network deployment Data mining Hata model for urban areas computer Deployment environment |
| Zdroj: | WiMob |
| DOI: | 10.1109/wimob50308.2020.9253410 |
| Popis: | In a wireless network, understanding the spatiotemporal propagation of a radio signal and its attenuation over distance has always been a great concern. However, to set up an efficient network with these needs, it is imperative to have a good characterization of the signal propagation over the deployment environment. The contribution of this paper is twofold. First, we study, select and test some of existing signal propagation models on a LoRa network in order to see which model best fits LoRa signal propagation behavior. Second, we empirically optimize the best model from the first phase. The resulting model is then tested and validated in another real-world environment and compared to other models already experimented for LoRa networks. The Hata model is found in the first phase to show more accurate results and is therefore adapted using real measured data. The adapted model from Hata is then tested and validated with another and larger data set. Comparisons with Lee and Oulu models that have been used in previous real LoRa networks studies show that our adapted model can provide more accurate predictions to assist LoRa network deployment campaigns. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|