Throughput and packet loss probability analysis of long range wide area network
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jung, J.-Y. | - |
dc.contributor.author | Lee, J.-R. | - |
dc.date.accessioned | 2021-09-15T03:40:11Z | - |
dc.date.available | 2021-09-15T03:40:11Z | - |
dc.date.issued | 2021-09 | - |
dc.identifier.issn | 2076-3417 | - |
dc.identifier.issn | 2076-3417 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/49142 | - |
dc.description.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. | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | MDPI | - |
dc.title | Throughput and packet loss probability analysis of long range wide area network | - |
dc.type | Article | - |
dc.identifier.doi | 10.3390/app11178091 | - |
dc.identifier.bibliographicCitation | Applied Sciences (Switzerland), v.11, no.17 | - |
dc.description.isOpenAccess | Y | - |
dc.identifier.wosid | 000694137500001 | - |
dc.identifier.scopusid | 2-s2.0-85114176736 | - |
dc.citation.number | 17 | - |
dc.citation.title | Applied Sciences (Switzerland) | - |
dc.citation.volume | 11 | - |
dc.type.docType | Article | - |
dc.publisher.location | 스위스 | - |
dc.subject.keywordAuthor | Internet of Things | - |
dc.subject.keywordAuthor | Long range wide area network | - |
dc.subject.keywordAuthor | Low power wide area network | - |
dc.subject.keywordAuthor | Markov chain model | - |
dc.relation.journalResearchArea | Chemistry | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Materials Science | - |
dc.relation.journalResearchArea | Physics | - |
dc.relation.journalWebOfScienceCategory | Chemistry, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Engineering, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Materials Science, Multidisciplinary | - |
dc.relation.journalWebOfScienceCategory | Physics, Applied | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
84, Heukseok-ro, Dongjak-gu, Seoul, Republic of Korea (06974)02-820-6194
COPYRIGHT 2019 Chung-Ang University All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.