Development of low cost spectrum qualifier for new iot technologies
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNIFEI (RIUNIFEI) |
Texto Completo: | https://repositorio.unifei.edu.br/jspui/handle/123456789/2491 |
Resumo: | With the evolution of radio technologies during the last decades, the companies are replacing equipment with individual components with particular functions by systems where most signals are treated digitally through digital signal processing techniques. With this, engineers can develop many applications at the software level, enabling new analyses to exists. With the growth of the internet of things, companies are deploying new solutions around the world. Most of these solutions are wireless applications that use the unlicensed frequency spectrum band, which increases the density of wireless devices in a location. In environments with numerous wireless equipment transmitting simultaneously, it is essential to detect how busy the frequency spectrum is before deploying a new solution. A spectrum analyzer can analyze this, but the cost of acquiring suitable equipment can be very high. Besides that, these devices only allow users to analyze the frequency spectrum, not the technology itself, packet loss, data rate, and coverage, without purchasing expensive software licenses. This thesis presents the development of a software-defined radio application capable of evaluating the performance of radio technologies, such as Bluetooth or Wi-SUN, and shows their behavior in a noisy environment. |
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2021-07-162021-08-122021-08-12T19:25:27Z2021-08-12T19:25:27Zhttps://repositorio.unifei.edu.br/jspui/handle/123456789/2491With the evolution of radio technologies during the last decades, the companies are replacing equipment with individual components with particular functions by systems where most signals are treated digitally through digital signal processing techniques. With this, engineers can develop many applications at the software level, enabling new analyses to exists. With the growth of the internet of things, companies are deploying new solutions around the world. Most of these solutions are wireless applications that use the unlicensed frequency spectrum band, which increases the density of wireless devices in a location. In environments with numerous wireless equipment transmitting simultaneously, it is essential to detect how busy the frequency spectrum is before deploying a new solution. A spectrum analyzer can analyze this, but the cost of acquiring suitable equipment can be very high. Besides that, these devices only allow users to analyze the frequency spectrum, not the technology itself, packet loss, data rate, and coverage, without purchasing expensive software licenses. This thesis presents the development of a software-defined radio application capable of evaluating the performance of radio technologies, such as Bluetooth or Wi-SUN, and shows their behavior in a noisy environment.engUniversidade Federal de ItajubáPrograma de Pós-Graduação: Mestrado - Engenharia ElétricaUNIFEIBrasilIESTI - Instituto de Engenharia de Sistemas e Tecnologia da InformaçãoCNPQ::ENGENHARIAS::ENGENHARIA ELÉTRICASofware-define RadirBluetoothWi-SUNSpectrum sensingGNU RadioLimeSDRDevelopment of low cost spectrum qualifier for new iot technologiesinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisPIMENTA, Tales Cleberhttp://lattes.cnpq.br/3321577431881283VOLPATO, Rômulo Motahttp://lattes.cnpq.br/7415923786157515http://lattes.cnpq.br/0223278113701056GONÇALVES, Leonardo RibeiroGONÇALVES, Leonardo Ribeiro. Development of low cost spectrum qualifier for new iot technologies. 2021. 65 f. Dissertação (Mestrado em Engenharia Elétrica) – Universidade Federal de Itajubá, Itajubá, 2021.info:eu-repo/semantics/openAccessreponame:Repositório Institucional da UNIFEI (RIUNIFEI)instname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEILICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.unifei.edu.br/jspui/bitstream/123456789/2491/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52ORIGINALDissertação_2021160.pdfDissertação_2021160.pdfapplication/pdf3020393https://repositorio.unifei.edu.br/jspui/bitstream/123456789/2491/1/Disserta%c3%a7%c3%a3o_2021160.pdfd2835264c59c87504f09b7e4835c4467MD51123456789/24912021-08-12 16:27:13.225oai:repositorio.unifei.edu.br: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Repositório InstitucionalPUBhttps://repositorio.unifei.edu.br/oai/requestrepositorio@unifei.edu.br || geraldocarlos@unifei.edu.bropendoar:70442021-08-12T19:27:13Repositório Institucional da UNIFEI (RIUNIFEI) - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.pt_BR.fl_str_mv |
Development of low cost spectrum qualifier for new iot technologies |
title |
Development of low cost spectrum qualifier for new iot technologies |
spellingShingle |
Development of low cost spectrum qualifier for new iot technologies GONÇALVES, Leonardo Ribeiro CNPQ::ENGENHARIAS::ENGENHARIA ELÉTRICA Sofware-define Radir Bluetooth Wi-SUN Spectrum sensing GNU Radio LimeSDR |
title_short |
Development of low cost spectrum qualifier for new iot technologies |
title_full |
Development of low cost spectrum qualifier for new iot technologies |
title_fullStr |
Development of low cost spectrum qualifier for new iot technologies |
title_full_unstemmed |
Development of low cost spectrum qualifier for new iot technologies |
title_sort |
Development of low cost spectrum qualifier for new iot technologies |
author |
GONÇALVES, Leonardo Ribeiro |
author_facet |
GONÇALVES, Leonardo Ribeiro |
author_role |
author |
dc.contributor.advisor1.fl_str_mv |
PIMENTA, Tales Cleber |
dc.contributor.advisor1Lattes.fl_str_mv |
http://lattes.cnpq.br/3321577431881283 |
dc.contributor.advisor-co1.fl_str_mv |
VOLPATO, Rômulo Mota |
dc.contributor.advisor-co1Lattes.fl_str_mv |
http://lattes.cnpq.br/7415923786157515 |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/0223278113701056 |
dc.contributor.author.fl_str_mv |
GONÇALVES, Leonardo Ribeiro |
contributor_str_mv |
PIMENTA, Tales Cleber VOLPATO, Rômulo Mota |
dc.subject.cnpq.fl_str_mv |
CNPQ::ENGENHARIAS::ENGENHARIA ELÉTRICA |
topic |
CNPQ::ENGENHARIAS::ENGENHARIA ELÉTRICA Sofware-define Radir Bluetooth Wi-SUN Spectrum sensing GNU Radio LimeSDR |
dc.subject.por.fl_str_mv |
Sofware-define Radir Bluetooth Wi-SUN Spectrum sensing GNU Radio LimeSDR |
description |
With the evolution of radio technologies during the last decades, the companies are replacing equipment with individual components with particular functions by systems where most signals are treated digitally through digital signal processing techniques. With this, engineers can develop many applications at the software level, enabling new analyses to exists. With the growth of the internet of things, companies are deploying new solutions around the world. Most of these solutions are wireless applications that use the unlicensed frequency spectrum band, which increases the density of wireless devices in a location. In environments with numerous wireless equipment transmitting simultaneously, it is essential to detect how busy the frequency spectrum is before deploying a new solution. A spectrum analyzer can analyze this, but the cost of acquiring suitable equipment can be very high. Besides that, these devices only allow users to analyze the frequency spectrum, not the technology itself, packet loss, data rate, and coverage, without purchasing expensive software licenses. This thesis presents the development of a software-defined radio application capable of evaluating the performance of radio technologies, such as Bluetooth or Wi-SUN, and shows their behavior in a noisy environment. |
publishDate |
2021 |
dc.date.issued.fl_str_mv |
2021-07-16 |
dc.date.available.fl_str_mv |
2021-08-12 2021-08-12T19:25:27Z |
dc.date.accessioned.fl_str_mv |
2021-08-12T19:25:27Z |
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.unifei.edu.br/jspui/handle/123456789/2491 |
url |
https://repositorio.unifei.edu.br/jspui/handle/123456789/2491 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.references.pt_BR.fl_str_mv |
GONÇALVES, Leonardo Ribeiro. Development of low cost spectrum qualifier for new iot technologies. 2021. 65 f. Dissertação (Mestrado em Engenharia Elétrica) – Universidade Federal de Itajubá, Itajubá, 2021. |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Universidade Federal de Itajubá |
dc.publisher.program.fl_str_mv |
Programa de Pós-Graduação: Mestrado - Engenharia Elétrica |
dc.publisher.initials.fl_str_mv |
UNIFEI |
dc.publisher.country.fl_str_mv |
Brasil |
dc.publisher.department.fl_str_mv |
IESTI - Instituto de Engenharia de Sistemas e Tecnologia da Informação |
publisher.none.fl_str_mv |
Universidade Federal de Itajubá |
dc.source.none.fl_str_mv |
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UNIFEI |
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Repositório Institucional da UNIFEI (RIUNIFEI) |
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