Analysis and Optimization of Low Power Wide Area IoT Network

LoRa (Long Range) is one of the latest Low power Wide Area Network (LPWAN) technology that has increased the number of IoT applications because of its extended battery life, low data rate and large coverage area. In this paper, we have investigated and analyzed the effects of different transmission parameters of LoRa on the estimated battery life of sensors. To extend the battery life of LoRa based sensors, optimal values of non-constrained parameters such as Spreading factor (SF), Coding rate (CR) and Bandwidth (BW) has been analyzed on the basis of Mean Square Error (MSE) Function. The potency of MSE is evaluated by the means of Artificial Neural Network using neural network fitting tool in MATLAB for simulations. In comparison to current prevalent lifetime of LoRa based node i.e. 10years, the optimization insights an increase in the battery life of nodes upto 19 years. Encapsulating these benefits of LoRaWAN, this technology has been proved as the propitious methods in different and wide applications of IoT.