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Throughput and packet loss probability analysis of long range wide area networkopen access

Authors
Jung, J.-Y.Lee, J.-R.
Issue Date
Sep-2021
Publisher
MDPI
Keywords
Internet of Things; Long range wide area network; Low power wide area network; Markov chain model
Citation
Applied Sciences (Switzerland), v.11, no.17
Journal Title
Applied Sciences (Switzerland)
Volume
11
Number
17
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/49142
DOI
10.3390/app11178091
ISSN
2076-3417
2076-3417
Abstract
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.
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창의ICT공과대학 (전자전기공학부)
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