Throughput and packet loss probability analysis of long range wide area network

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초록

Long Range Wide Area Network (LoRaWAN) is the one of the promising low power wide area network (LPWAN) technologies at present and is expected to grow in the foreseeable future as a tool to provide connectivity among small things. In this paper, we present a simple analytical model to compute the throughput and packet loss probability of Medium Access Control (MAC) for Class-A of LoRaWAN. This analysis results can be used as a reference for deploying the appropriate number of end-devices (EDs) that can be accepted in a gateway (GW) while maximizing network throughput or guaranteeing the packet loss rate of EDs. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

키워드

Internet of Things; Long range wide area network; Low power wide area network; Markov chain model
제목
Throughput and packet loss probability analysis of long range wide area network
저자
Jung, J.-Y.; Lee, J.-R.
DOI
10.3390/app11178091
발행일
2021-09
유형
Article
저널명
Applied Sciences (Switzerland)
권
11
호
17

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