Experimental Visualization of the LoRaWAN Variable Correlation in Jakarta

This work presents empirical research into the efficacy of LoRaWAN, a wireless communication protocol that enables data transmission over extensive distances while minimizing power consumption and cost. This research aims to understand the correlation between transmission and connectivity within the LoRaWAN framework. Prior research on LoRaWAN has not investigated the influence of factors such as building height above sea level (MASL), elevation coordinate during the driving test, elevation gateway position coordinate point, distance from transmission transmitter to receiver, Signal-to-Noise Ratio (SNR), and Received Signal Strength Indicator (RSSI) on coverage status about environmental complexity. Hence, this study gathered data through a driving test utilizing a GlobalSat tracker with the identification numbers (K02188, K02204, and K02205) to examine these variables’ impact on LoRaWAN performance. The trial results consist of logarithmic and historical data collected at specific gateway locations in Jakarta. The RSSI measurements, which indicate the strength of the signal, varied from -127 dB to 60 dB, with an average Signal-to-Noise Ratio (SNR) of 7 dB. The coverage status is classified into different categories, including Excellent (12.55%), Acceptable (16.57%), Good (19.86%), Poor (23.98%), and Very Poor (27.01%). The correlation variable analysis reveals that the coverage status is highly correlated with the independent variables. Provides useful insight into the areas available for LoRaWAN performance and reliability as a technology that will support digital smart meter deployment in challenging and complex environments. Correlation variables provide information about the elements that influence coverage status.