Large Scale LoRa Networks: From Homogeneous to Heterogeneous Deployments

Descripción del Articulo

The work has been partly funded by the European Union Horizon 2020 research and innovation program under grant agreement No. 761745, the Government of Taiwan and by Cienciactiva-CONCYTEC of the Peruvian government
Detalles Bibliográficos
Autores: Ochoa M.N., Suraty L., Maman M., Duda A.
Formato: objeto de conferencia
Fecha de Publicación:2018
Institución:Consejo Nacional de Ciencia Tecnología e Innovación
Repositorio:CONCYTEC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.concytec.gob.pe:20.500.12390/673
Enlace del recurso:https://hdl.handle.net/20.500.12390/673
https://doi.org/10.1109/WiMOB.2018.8589080
Nivel de acceso:acceso abierto
Materia:Traffic intensity
Budget control
Heterogeneous networks
Mobile computing
Allocation strategy
Homogeneous network
Large-scale deployment
Large-scale network
Link optimization
Performance comparison
Quasi-orthogonality
https://purl.org/pe-repo/ocde/ford#2.02.01
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network_acronym_str CONC
network_name_str CONCYTEC-Institucional
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dc.title.none.fl_str_mv Large Scale LoRa Networks: From Homogeneous to Heterogeneous Deployments
title Large Scale LoRa Networks: From Homogeneous to Heterogeneous Deployments
spellingShingle Large Scale LoRa Networks: From Homogeneous to Heterogeneous Deployments
Ochoa M.N.
Traffic intensity
Budget control
Heterogeneous networks
Mobile computing
Allocation strategy
Homogeneous network
Large-scale deployment
Large-scale network
Link optimization
Performance comparison
Quasi-orthogonality
https://purl.org/pe-repo/ocde/ford#2.02.01
title_short Large Scale LoRa Networks: From Homogeneous to Heterogeneous Deployments
title_full Large Scale LoRa Networks: From Homogeneous to Heterogeneous Deployments
title_fullStr Large Scale LoRa Networks: From Homogeneous to Heterogeneous Deployments
title_full_unstemmed Large Scale LoRa Networks: From Homogeneous to Heterogeneous Deployments
title_sort Large Scale LoRa Networks: From Homogeneous to Heterogeneous Deployments
author Ochoa M.N.
author_facet Ochoa M.N.
Suraty L.
Maman M.
Duda A.
author_role author
author2 Suraty L.
Maman M.
Duda A.
author2_role author
author
author
dc.contributor.author.fl_str_mv Ochoa M.N.
Suraty L.
Maman M.
Duda A.
dc.subject.none.fl_str_mv Traffic intensity
topic Traffic intensity
Budget control
Heterogeneous networks
Mobile computing
Allocation strategy
Homogeneous network
Large-scale deployment
Large-scale network
Link optimization
Performance comparison
Quasi-orthogonality
https://purl.org/pe-repo/ocde/ford#2.02.01
dc.subject.es_PE.fl_str_mv Budget control
Heterogeneous networks
Mobile computing
Allocation strategy
Homogeneous network
Large-scale deployment
Large-scale network
Link optimization
Performance comparison
Quasi-orthogonality
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#2.02.01
description The work has been partly funded by the European Union Horizon 2020 research and innovation program under grant agreement No. 761745, the Government of Taiwan and by Cienciactiva-CONCYTEC of the Peruvian government
publishDate 2018
dc.date.accessioned.none.fl_str_mv 2024-05-30T23:13:38Z
dc.date.available.none.fl_str_mv 2024-05-30T23:13:38Z
dc.date.issued.fl_str_mv 2018
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
dc.identifier.isbn.none.fl_str_mv 9781538668764
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12390/673
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1109/WiMOB.2018.8589080
dc.identifier.scopus.none.fl_str_mv 2-s2.0-85060782424
identifier_str_mv 9781538668764
2-s2.0-85060782424
url https://hdl.handle.net/20.500.12390/673
https://doi.org/10.1109/WiMOB.2018.8589080
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv International Conference on Wireless and Mobile Computing, Networking and Communications
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv IEEE Computer Society
publisher.none.fl_str_mv IEEE Computer Society
dc.source.none.fl_str_mv reponame:CONCYTEC-Institucional
instname:Consejo Nacional de Ciencia Tecnología e Innovación
instacron:CONCYTEC
instname_str Consejo Nacional de Ciencia Tecnología e Innovación
instacron_str CONCYTEC
institution CONCYTEC
reponame_str CONCYTEC-Institucional
collection CONCYTEC-Institucional
repository.name.fl_str_mv Repositorio Institucional CONCYTEC
repository.mail.fl_str_mv repositorio@concytec.gob.pe
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spelling Publicationrp01517600rp01516600rp01514600rp01515600Ochoa M.N.Suraty L.Maman M.Duda A.2024-05-30T23:13:38Z2024-05-30T23:13:38Z20189781538668764https://hdl.handle.net/20.500.12390/673https://doi.org/10.1109/WiMOB.2018.85890802-s2.0-85060782424The work has been partly funded by the European Union Horizon 2020 research and innovation program under grant agreement No. 761745, the Government of Taiwan and by Cienciactiva-CONCYTEC of the Peruvian governmentLoRa technology has emerged as an interesting solution for Low Power Wide Area (LPWA) applications. The main LPWA research directions are about large scale networks to support massive number of devices, interference issues, link optimization and adaptability. Thus heterogeneous network deployments and Spreading Factor (SF) allocation strategies need to be studied. In this paper, we investigate the performance of homogeneous networks (i.e. when all the nodes select the same LoRa configuration) and heterogeneous networks (i.e. when each node selects its LoRa configuration according to its link budget or their needs) for large scale deployments (up to 10000 nodes per gateway). For that purpose we have developed a LoRa Module, based on improved WSNet simulator, including a spectrum usage abstraction, the co-channel rejection due to the quasi-orthogonality of SFs and the gateway capture effect. Simulation results show the performance comparison in terms of reliability, network capacity and power consumption for homogeneous and heterogeneous deployments as a function of the number of nodes and the traffic intensity. The comparison shows the benefits of the heterogeneous deployment where each node selects its configuration according to its link budget.Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - ConcytecengIEEE Computer SocietyInternational Conference on Wireless and Mobile Computing, Networking and Communicationsinfo:eu-repo/semantics/openAccessTraffic intensityBudget control-1Heterogeneous networks-1Mobile computing-1Allocation strategy-1Homogeneous network-1Large-scale deployment-1Large-scale network-1Link optimization-1Performance comparison-1Quasi-orthogonality-1https://purl.org/pe-repo/ocde/ford#2.02.01-1Large Scale LoRa Networks: From Homogeneous to Heterogeneous Deploymentsinfo:eu-repo/semantics/conferenceObjectreponame:CONCYTEC-Institucionalinstname:Consejo Nacional de Ciencia Tecnología e Innovacióninstacron:CONCYTEC#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#20.500.12390/673oai:repositorio.concytec.gob.pe:20.500.12390/6732024-05-30 15:22:37.837http://purl.org/coar/access_right/c_14cbinfo:eu-repo/semantics/closedAccessmetadata only accesshttps://repositorio.concytec.gob.peRepositorio Institucional CONCYTECrepositorio@concytec.gob.pe#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="e6f87ad7-4c79-49f1-ab7e-6a8fe60e1041"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Large Scale LoRa Networks: From Homogeneous to Heterogeneous Deployments</Title> <PublishedIn> <Publication> <Title>International Conference on Wireless and Mobile Computing, Networking and Communications</Title> </Publication> </PublishedIn> <PublicationDate>2018</PublicationDate> <DOI>https://doi.org/10.1109/WiMOB.2018.8589080</DOI> <SCP-Number>2-s2.0-85060782424</SCP-Number> <ISBN>9781538668764</ISBN> <Authors> <Author> <DisplayName>Ochoa M.N.</DisplayName> <Person id="rp01517" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Suraty L.</DisplayName> <Person id="rp01516" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Maman M.</DisplayName> <Person id="rp01514" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Duda A.</DisplayName> <Person id="rp01515" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>IEEE Computer Society</DisplayName> <OrgUnit /> </Publisher> </Publishers> <Keyword>Traffic intensity</Keyword> <Keyword>Budget control</Keyword> <Keyword>Heterogeneous networks</Keyword> <Keyword>Mobile computing</Keyword> <Keyword>Allocation strategy</Keyword> <Keyword>Homogeneous network</Keyword> <Keyword>Large-scale deployment</Keyword> <Keyword>Large-scale network</Keyword> <Keyword>Link optimization</Keyword> <Keyword>Performance comparison</Keyword> <Keyword>Quasi-orthogonality</Keyword> <Abstract>LoRa technology has emerged as an interesting solution for Low Power Wide Area (LPWA) applications. The main LPWA research directions are about large scale networks to support massive number of devices, interference issues, link optimization and adaptability. Thus heterogeneous network deployments and Spreading Factor (SF) allocation strategies need to be studied. In this paper, we investigate the performance of homogeneous networks (i.e. when all the nodes select the same LoRa configuration) and heterogeneous networks (i.e. when each node selects its LoRa configuration according to its link budget or their needs) for large scale deployments (up to 10000 nodes per gateway). For that purpose we have developed a LoRa Module, based on improved WSNet simulator, including a spectrum usage abstraction, the co-channel rejection due to the quasi-orthogonality of SFs and the gateway capture effect. Simulation results show the performance comparison in terms of reliability, network capacity and power consumption for homogeneous and heterogeneous deployments as a function of the number of nodes and the traffic intensity. The comparison shows the benefits of the heterogeneous deployment where each node selects its configuration according to its link budget.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication> -1
score 13.2911825
Large Scale LoRa Networks: From Homogeneous to Heterogeneous Deployments
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