Throughput Optimization in LoRa by Proper Transmission Parameter Allocation

• Main Authors: Ting-Wei Lee, 李亭葦
• Other Authors: Huei-Wen Ferng
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/zc27kk

碩士 === 國立臺灣科技大學 === 資訊工程系 === 107 === As the Internet of things (IoT) is gradually realized, the focus on IoT lies in the design of low-power wide-area networks (LPWANs) nowadays. LPWAN arises for power saving and long-range data transmission in IoT. It enables the long-range communication at a low bitrate. Despite the technology of LoRa is developed maturely, how to allocate radio resources efficiently among many end devices in the wide area is still an open issue. Target at this goal, this paper will propose an algorithm for LoRa to better system performance. First, end devices are clustered. Then, the fact that a different transmission ratio causes a different bitrate serves as the principle of allocation. By using this fact and the results of clustering, the system performance is optimized. Via simulations, we successfully show that our proposed algorithm outperforms the closely related algorithms in the literature in terms of the data extraction rate and throughput when more end devices are involved.