Performance measurements and analysis of bluetooth low energy

Detalhes bibliográficos
Ano de defesa: 2016
Autor(a) principal: LINHARES, André Guedes
Orientador(a): FERNANDES, Stênio Flávio de Lacerda
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
dARK ID: ark:/64986/0013000012wh2
Idioma: eng
Instituição de defesa: Universidade Federal de Pernambuco
Programa de Pós-Graduação: Programa de Pos Graduacao em Ciencia da Computacao
Departamento: Não Informado pela instituição
País: Brasil
Palavras-chave em Português:
BLE
RTT
Link de acesso: https://repositorio.ufpe.br/handle/123456789/19520
Resumo: The Internet of Things (IoT) paradigm has been rapidly gaining ground in the academic and industry communities as one of the most important emerging technologies. Some wireless communication technologies such as Bluetooth Low Energy (BLE) have been pointed as key technologies that will drive IoT applications. In order to leverage the BLE technology in IoT applications and identify the niche of applications this technology is more suitable, it is essential we have a deep understanding regarding some features such as link capacity, data transfer delay, connection establishment latency, and power consumption. This work evaluates the networking capabilities from BLE in scenarios of data transfer and connection establishment. The metrics maximum throughput, one-way delay, round-trip time, and connection establishment latency are evaluated through experimental measurements and we investigate how some factors (e.g. connection interval, pairing, packet size) impact on these metrics. Finally, this work proposes analytical models for the metrics investigated.
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spelling LINHARES, André Guedeshttp://lattes.cnpq.br/2336430351570604http://lattes.cnpq.br/8598484164048317FERNANDES, Stênio Flávio de Lacerda2017-07-12T13:37:34Z2017-07-12T13:37:34Z2016-05-17https://repositorio.ufpe.br/handle/123456789/19520ark:/64986/0013000012wh2The Internet of Things (IoT) paradigm has been rapidly gaining ground in the academic and industry communities as one of the most important emerging technologies. Some wireless communication technologies such as Bluetooth Low Energy (BLE) have been pointed as key technologies that will drive IoT applications. In order to leverage the BLE technology in IoT applications and identify the niche of applications this technology is more suitable, it is essential we have a deep understanding regarding some features such as link capacity, data transfer delay, connection establishment latency, and power consumption. This work evaluates the networking capabilities from BLE in scenarios of data transfer and connection establishment. The metrics maximum throughput, one-way delay, round-trip time, and connection establishment latency are evaluated through experimental measurements and we investigate how some factors (e.g. connection interval, pairing, packet size) impact on these metrics. Finally, this work proposes analytical models for the metrics investigated.O paradigma da Internet das Coisas (Internet of Things - IoT) tem recebido grande destaque tanto das comunidades científicas como da indústria nos últimos anos. Algumas tecnologias de comunicação sem fio como Bluetooth Low Energy (BLE) tem sido apontadas como tecnologias que terão um papel fundamental na concepção de aplicativos de IoT. Um entendimento profundo de algumas características da tecnologia, como vazão e atraso na transmissão de dados, latência no estabelecimento de conexão e consumo de energia, é essencial para explorar ao máximo a tecnologia em cenários de IoT e identificar o nicho de aplicação onde esta tecnologia é mais aplicável. Este trabalho apresenta uma avaliação de desempenho da tecnologia BLE em cenários de transmissão de dados e estabelecimento de conexão. As métricas vazão máxima, atraso fim-a-fim, atraso ida-e-volta (Round-Trip Time - RTT) e latência de estabelecimento de conexão são avaliadas através de experimentos. Este trabalho também investiga como alguns fatores, como intervalo de conexão, encriptação de link e tamanho de pacote, impactam nas métricas avaliadas. Por fim, este trabalho apresenta modelos analíticos para as métricas investigadas.engUniversidade Federal de PernambucoPrograma de Pos Graduacao em Ciencia da ComputacaoUFPEBrasilAttribution-NonCommercial-NoDerivs 3.0 Brazilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/info:eu-repo/semantics/openAccessBLEBluetoothPerformanceVazãoAtrasoLatênciaBLEBluetoothPerformanceThroughputOne-way delayRTTLatencyPerformance measurements and analysis of bluetooth low energyinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesismestradoreponame:Repositório Institucional da UFPEinstname:Universidade Federal de Pernambuco (UFPE)instacron:UFPETHUMBNAILMaster_Dissertation___Performance_Measurements_and_Analysis_of_Bluetooth_Low_Energy (8).pdf.jpgMaster_Dissertation___Performance_Measurements_and_Analysis_of_Bluetooth_Low_Energy (8).pdf.jpgGenerated Thumbnailimage/jpeg1268https://repositorio.ufpe.br/bitstream/123456789/19520/5/Master_Dissertation___Performance_Measurements_and_Analysis_of_Bluetooth_Low_Energy%20%288%29.pdf.jpg4206b59024906bbfb66bb228e3a54bd6MD55ORIGINALMaster_Dissertation___Performance_Measurements_and_Analysis_of_Bluetooth_Low_Energy (8).pdfMaster_Dissertation___Performance_Measurements_and_Analysis_of_Bluetooth_Low_Energy (8).pdfapplication/pdf8669109https://repositorio.ufpe.br/bitstream/123456789/19520/1/Master_Dissertation___Performance_Measurements_and_Analysis_of_Bluetooth_Low_Energy%20%288%29.pdfcb0af886f0cdc7babced229049a33535MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; 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dc.title.pt_BR.fl_str_mv Performance measurements and analysis of bluetooth low energy
title Performance measurements and analysis of bluetooth low energy
spellingShingle Performance measurements and analysis of bluetooth low energy
LINHARES, André Guedes
BLE
Bluetooth
Performance
Vazão
Atraso
Latência
BLE
Bluetooth
Performance
Throughput
One-way delay
RTT
Latency
title_short Performance measurements and analysis of bluetooth low energy
title_full Performance measurements and analysis of bluetooth low energy
title_fullStr Performance measurements and analysis of bluetooth low energy
title_full_unstemmed Performance measurements and analysis of bluetooth low energy
title_sort Performance measurements and analysis of bluetooth low energy
author LINHARES, André Guedes
author_facet LINHARES, André Guedes
author_role author
dc.contributor.authorLattes.pt_BR.fl_str_mv http://lattes.cnpq.br/2336430351570604
dc.contributor.advisorLattes.pt_BR.fl_str_mv http://lattes.cnpq.br/8598484164048317
dc.contributor.author.fl_str_mv LINHARES, André Guedes
dc.contributor.advisor1.fl_str_mv FERNANDES, Stênio Flávio de Lacerda
contributor_str_mv FERNANDES, Stênio Flávio de Lacerda
dc.subject.por.fl_str_mv BLE
Bluetooth
Performance
Vazão
Atraso
Latência
BLE
Bluetooth
Performance
Throughput
One-way delay
RTT
Latency
topic BLE
Bluetooth
Performance
Vazão
Atraso
Latência
BLE
Bluetooth
Performance
Throughput
One-way delay
RTT
Latency
description The Internet of Things (IoT) paradigm has been rapidly gaining ground in the academic and industry communities as one of the most important emerging technologies. Some wireless communication technologies such as Bluetooth Low Energy (BLE) have been pointed as key technologies that will drive IoT applications. In order to leverage the BLE technology in IoT applications and identify the niche of applications this technology is more suitable, it is essential we have a deep understanding regarding some features such as link capacity, data transfer delay, connection establishment latency, and power consumption. This work evaluates the networking capabilities from BLE in scenarios of data transfer and connection establishment. The metrics maximum throughput, one-way delay, round-trip time, and connection establishment latency are evaluated through experimental measurements and we investigate how some factors (e.g. connection interval, pairing, packet size) impact on these metrics. Finally, this work proposes analytical models for the metrics investigated.
publishDate 2016
dc.date.issued.fl_str_mv 2016-05-17
dc.date.accessioned.fl_str_mv 2017-07-12T13:37:34Z
dc.date.available.fl_str_mv 2017-07-12T13:37:34Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://repositorio.ufpe.br/handle/123456789/19520
dc.identifier.dark.fl_str_mv ark:/64986/0013000012wh2
url https://repositorio.ufpe.br/handle/123456789/19520
identifier_str_mv ark:/64986/0013000012wh2
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv Attribution-NonCommercial-NoDerivs 3.0 Brazil
http://creativecommons.org/licenses/by-nc-nd/3.0/br/
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rights_invalid_str_mv Attribution-NonCommercial-NoDerivs 3.0 Brazil
http://creativecommons.org/licenses/by-nc-nd/3.0/br/
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dc.publisher.none.fl_str_mv Universidade Federal de Pernambuco
dc.publisher.program.fl_str_mv Programa de Pos Graduacao em Ciencia da Computacao
dc.publisher.initials.fl_str_mv UFPE
dc.publisher.country.fl_str_mv Brasil
publisher.none.fl_str_mv Universidade Federal de Pernambuco
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