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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Collections - College of ICT Engineering > School of Electrical and Electronics Engineering > 1. Journal Articles
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