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Success Probability Characterization of Long-Range in Low-Power Wide Area Networks

Department of Computer Convergence Software, Korea University, Sejong 30019, Korea
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Author to whom correspondence should be addressed.
Sensors 2020, 20(23), 6861; https://doi.org/10.3390/s20236861
Received: 29 October 2020 / Revised: 27 November 2020 / Accepted: 27 November 2020 / Published: 30 November 2020
(This article belongs to the Section Internet of Things)
In low-power wide area networks (LPWAN), a considerable number of end devices (EDs) communicate with the gateway in a certain area, whereas for transmitted data, a low data rate and high latency are allowed. Long-range (LoRa), as one of the LPWAN technologies, considers pure ALOHA and chirp spread spectrum (CSS) in the media access control (MAC) and physical (PHY) layers such that it can improve the energy efficiency while mitigating inter-cell interference (ICI). This paper investigates the system throughput of LoRa networks under the assumption that the interferences between EDs for exclusive regions are ignored using CSS. In order to establish an analytical model for the performance of LoRa, we introduce the pure ALOHA capture model, which is the power threshold model. For this model, we assume that the interfering power is proportional to the length of the time overlapped. In addition, we discuss LoRa gain by comparing the total throughput of LoRa with that of non-CSS. View Full-Text
Keywords: low-power wide area network; long-range; ALOHA; capture model; and chirp spread spectrum low-power wide area network; long-range; ALOHA; capture model; and chirp spread spectrum
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MDPI and ACS Style

Kim, Y.-K.; Kim, S.-Y. Success Probability Characterization of Long-Range in Low-Power Wide Area Networks. Sensors 2020, 20, 6861.

AMA Style

Kim Y-K, Kim S-Y. Success Probability Characterization of Long-Range in Low-Power Wide Area Networks. Sensors. 2020; 20(23):6861.

Chicago/Turabian Style

Kim, Yi-Kang; Kim, Seung-Yeon. 2020. "Success Probability Characterization of Long-Range in Low-Power Wide Area Networks" Sensors 20, no. 23: 6861.

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