Modeling and Simulation of Long Range (LoRa) Communication System on Smart Grid

A large amount of sensing data generated by multiple sensors is collected through the cloud platform, while the amount of data over the network is increasing rapidly. IoT applications use several wireless technologies, such as Long Range (LoRa), which has many advantages, one of which is the level of reliability. However, there are still many cases that test the reliability of the LoRa communication system. This study builds a communication system model on a smart grid network that focuses on the communication network layer. This study discusses the reliability of data transmission from transmitter to receiver to produce high reliability on the receiving side. This research method is descriptive-analytic in building a smart grid model of information and communication systems over a wide area network (WAN) employing chirp spread spectrum (CSS) modulation. This study uses additive white gaussian noise (AWGN) to decrease noise in the demodulation process. It has been validated using MATLAB with a signal-to-noise-and- interference-ratio (SINR) value equal to 0 dB, a bit error rate of 0.2e-4, a symbol error rate of 0.5e-4, and a packet error rate of 0.1e-3. The occupied bandwidth is 99% accurate.