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http://hdl.handle.net/10397/106328
| Title: | LoRa data throughput enhancement by slotted channel activity detection | Authors: | Tsoi, MH Ng, TH Lun, DPK Choy, YS Mung, SWY |
Issue Date: | 2020 | Source: | APMC 2020 : 2020 Asia-Pacific Microwave Conference : proceeding: celebrating the past, engineering the future : virtual conference : 8-11 December, 2020, Hong Kong SAR, PR China, p. 466-468 | Abstract: | Simple LoRa network was built to enhance the data throughput performance. Slotted Channel Activity Detection (CAD) carrier sense multiple access with collision avoidance (CSMA/CA) method was applied to LoRa network to avoid collision without sacrificing the data throughput. Experiment shows that the proposed CSMA/CA method keeps 100% packet delivery ratio with 4800 bps. | Keywords: | CSMN CA IoT LoRa Slotted ALOHA |
Publisher: | Institute of Electrical and Electronics Engineers | ISBN: | 978-1-7281-6963-7 (Print on Demand(PoD)) 978-1-7281-6962-0 (Electronic) 978-1-7281-6961-3 (USB) |
DOI: | 10.1109/APMC47863.2020.9331636 | Description: | 2020 Asia-Pacific Microwave Conference, APMC 2020, 8-11 December, 2020, Hong Kong SAR, PR China, Virtual Conference | Rights: | ©2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The following publication M. H. Tsoi, T. H. Ng, D. P. K. Lun, Y. S. Choy and S. W. Y. Mung, "LoRa Data Throughput Enhancement by Slotted Channel Activity Detection," 2020 IEEE Asia-Pacific Microwave Conference (APMC), Hong Kong, Hong Kong, 2020, pp. 466-468 is available at https://doi.org/10.1109/APMC47863.2020.9331636. |
| Appears in Collections: | Conference Paper |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| Tsoi_Lora_Data_Throughput.pdf | Pre-Published version | 900.59 kB | Adobe PDF | View/Open |
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