Throughput Optimization in LoRa by Proper Transmission Parameter Allocation
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...
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ndltd-TW-107NTUS53921002019-10-24T05:20:29Z http://ndltd.ncl.edu.tw/handle/zc27kk Throughput Optimization in LoRa by Proper Transmission Parameter Allocation 透過適當的傳輸參數分配在LoRa 中實現吞吐量優化 Ting-Wei Lee 李亭葦 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. Huei-Wen Ferng 馮輝文 2019 學位論文 ; thesis 51 zh-TW |
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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.
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Huei-Wen Ferng |
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Huei-Wen Ferng Ting-Wei Lee 李亭葦 |
author |
Ting-Wei Lee 李亭葦 |
spellingShingle |
Ting-Wei Lee 李亭葦 Throughput Optimization in LoRa by Proper Transmission Parameter Allocation |
author_sort |
Ting-Wei Lee |
title |
Throughput Optimization in LoRa by Proper Transmission Parameter Allocation |
title_short |
Throughput Optimization in LoRa by Proper Transmission Parameter Allocation |
title_full |
Throughput Optimization in LoRa by Proper Transmission Parameter Allocation |
title_fullStr |
Throughput Optimization in LoRa by Proper Transmission Parameter Allocation |
title_full_unstemmed |
Throughput Optimization in LoRa by Proper Transmission Parameter Allocation |
title_sort |
throughput optimization in lora by proper transmission parameter allocation |
publishDate |
2019 |
url |
http://ndltd.ncl.edu.tw/handle/zc27kk |
work_keys_str_mv |
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