Abstract—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.
Index Terms—Internet of Things (IoT), LoRa, PSNR (Peak
Signal-to-Noise Ratio), SSIM index (Structural Similarity
Index), transmission time, JPEG, Webp, Base64.
The authors are with the Department of Information and
Communication Engineering, Chaoyang University of Technology,
Taichung City, Taiwan (e-mail: ccwei@cyut.edu.tw, {s10730601;
s10730603}@ cyut.edu.tw).
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Cite: Ching-Chuan Wei, Pei-Yi Su, and Shu-Ting Chen, "Comparison of the LoRa Image Transmission Efficiency Based on Different Encoding Methods," International Journal of Information and Electronics Engineering vol. 10, no. 1, pp. 1-4, 2020.
