Comparison of the LoRa Image Transmission Efficiency Based on Different Encoding Methods

The booming Internet of Things (IoT) can be seen in all areas of daily life. In the traditional wireless sensing network technology, there are difficult factors such as insufficient transmission distance or high power consumption. The emergence of LoRa (Long Range) technology has broken the difficult factors of traditional wireless sensing network technology. Due to the demand for image in IoT applications, the LoRa technology of low data rate will be designed to transmit the image of high data quantity in this paper. Different encoding methods will influence the transmitted file size and the transmission efficiency. Two major encoding methods are presented to conduct the comparison experiment of image transmission efficiency. PSNR (Peak Signal-to-Noise Ratio), SSIM index (Structural Similarity Index) and transmission time are used to evaluate the image transmission efficiency under different encoding method.