Akademik Veri Yönetim Sistemi
ICONSAD'23 3rd International Congress on Scientific Advances , Balıkesir, Türkiye, 20 - 23 Aralık 2023, ss.1
Low power-consumption wide area network (LPWAN) technologies include applications of wireless communication technologies that offer low infrastructure cost, battery consumption and operation cost advantages in rural areas. Long range wide area network (LoRaWAN) is one of the most well-known LPWANs and it is actively used in 181 countries around the world. LoRaWAN, which uses the industrial-scientific-medical (ISM) frequency band free of charge, was recognized as a standard by the International Telecommunication Union (ITU) in 2021 and it was accepted as a remote data gathering standard by European Telecommunications Standards Institute (ETSI) in 2023 within the scope of reading water-meters. Currently, LoRaWAN is widely used in many areas such as smart cities, meter-readings, agriculture, industrial measurements, health and transport. This paper presents the measurement results of received signal strength indicator (RSSI), signal-to-noise ratio (SNR), propagation factor (SF) and packet loss percentage parameters in an indoor LoRaWAN network as well as results of the network performance analysis based on those measurements and artificial intelligence assisted data generation. The measurements have been performed with Adeunis field measurement device in 80 different measurement points located inside a 5-floor building. In those measurements, three main parameters of a LoRaWAN network performance analysis, i.e. SF, SNR and RSSI values, have been observed as well as packet loss rates. Then, using those 80 floor-based measurement data and Gretel AI application, data generation process has been performed and as a result of this process data sets with 200, 500 and 1000 data have been generated respectively. The measurement results show that SF values do not change and take the value of SF7 continuously, while the RSSI and SNR values change. The measured RSSI values range from -120 dBm to -28 dBm and SNR values range from -3 dB to 8 dB. The average RSSI value has been calculated as -83.45 dBm and the average SNR value has been calculated as 6.25 dB for the measurements. In the data set containing 200 data generated with Gretel AI application, the average RSSI value is -84.77 dBm and the average SNR value is 6.44 dB; in the data set containing 500 data, the average RSSI value is -84.79 dBm and the average SNR value is 6.43 dB; in the data set containing 1000 data, the average RSSI value is -84.67 dBm and the average SNR value is 6.41 dB. According to the obtained measurement results and generated datasets, while the SF value does not change in the LoRaWAN coverage area, the changes in RSSI and SNR values have been observed as shown in Figure-1 and Figure-2. Packet loss rates have been obtained as 0 % in both measurements and data sets containing 200, 500 and 1000 data generated with 80 measurements. This shows that as well as outdoor and rural coverage scenarios LoRaWAN signal can also be transmitted with high efficiency in indoor applications.