Impacto da Amostragem de Registos Experimentais de Relação Sinal-Ruído em Simulações ns-3

Detalhes bibliográficos
Autor(a) principal: Ngangula Quaresma Soares dos Ramos
Data de Publicação: 2021
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/137390
Resumo: In the last decade, we have seen the proliferation of Wi-Fi networks as a substitute for wired networks in different application domains, such as in the business and industrial environment, in the infrastructure of cities with a high population density, and in the home environment. The application scenarios are increasingly complex, such as the case of emerging networks that can be composed of wireless transceivers installed in Unmanned Aerial Vehicles (UAVs), Autonomous Underwater Vehicles (AUVs), balloons, etc. These very complex scenarios have driven the development of new network solutions. The idea of capturing real records of node positions and Signal-to-Noise Ratio (SNR), reproducing these conditions in Network Simulator 3 (ns-3), resulted in simulations with more realistic results. This approach was named Trace-based Simulation (TS), as it allows to reproduce past experiences even if the testbed is turned off, inaccessible, or no longer exists. However, we end up with thousands of SNR samples per second on each node involved in the experiment, which leads to the generation of records that take up several GigaBytes per experiment. Thus TS approach has some limitations. In this dissertation we study the impact of sampling SNR experimental records on the accuracy of ns-3 simulations based on the TS approach.
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spelling Impacto da Amostragem de Registos Experimentais de Relação Sinal-Ruído em Simulações ns-3Engenharia electrotécnica, electrónica e informáticaElectrical engineering, Electronic engineering, Information engineeringIn the last decade, we have seen the proliferation of Wi-Fi networks as a substitute for wired networks in different application domains, such as in the business and industrial environment, in the infrastructure of cities with a high population density, and in the home environment. The application scenarios are increasingly complex, such as the case of emerging networks that can be composed of wireless transceivers installed in Unmanned Aerial Vehicles (UAVs), Autonomous Underwater Vehicles (AUVs), balloons, etc. These very complex scenarios have driven the development of new network solutions. The idea of capturing real records of node positions and Signal-to-Noise Ratio (SNR), reproducing these conditions in Network Simulator 3 (ns-3), resulted in simulations with more realistic results. This approach was named Trace-based Simulation (TS), as it allows to reproduce past experiences even if the testbed is turned off, inaccessible, or no longer exists. However, we end up with thousands of SNR samples per second on each node involved in the experiment, which leads to the generation of records that take up several GigaBytes per experiment. Thus TS approach has some limitations. In this dissertation we study the impact of sampling SNR experimental records on the accuracy of ns-3 simulations based on the TS approach.2021-10-122021-10-12T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://hdl.handle.net/10216/137390TID:202827712porNgangula Quaresma Soares dos Ramosinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T15:46:44Zoai:repositorio-aberto.up.pt:10216/137390Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:31:55.476387Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Impacto da Amostragem de Registos Experimentais de Relação Sinal-Ruído em Simulações ns-3
title Impacto da Amostragem de Registos Experimentais de Relação Sinal-Ruído em Simulações ns-3
spellingShingle Impacto da Amostragem de Registos Experimentais de Relação Sinal-Ruído em Simulações ns-3
Ngangula Quaresma Soares dos Ramos
Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
title_short Impacto da Amostragem de Registos Experimentais de Relação Sinal-Ruído em Simulações ns-3
title_full Impacto da Amostragem de Registos Experimentais de Relação Sinal-Ruído em Simulações ns-3
title_fullStr Impacto da Amostragem de Registos Experimentais de Relação Sinal-Ruído em Simulações ns-3
title_full_unstemmed Impacto da Amostragem de Registos Experimentais de Relação Sinal-Ruído em Simulações ns-3
title_sort Impacto da Amostragem de Registos Experimentais de Relação Sinal-Ruído em Simulações ns-3
author Ngangula Quaresma Soares dos Ramos
author_facet Ngangula Quaresma Soares dos Ramos
author_role author
dc.contributor.author.fl_str_mv Ngangula Quaresma Soares dos Ramos
dc.subject.por.fl_str_mv Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
topic Engenharia electrotécnica, electrónica e informática
Electrical engineering, Electronic engineering, Information engineering
description In the last decade, we have seen the proliferation of Wi-Fi networks as a substitute for wired networks in different application domains, such as in the business and industrial environment, in the infrastructure of cities with a high population density, and in the home environment. The application scenarios are increasingly complex, such as the case of emerging networks that can be composed of wireless transceivers installed in Unmanned Aerial Vehicles (UAVs), Autonomous Underwater Vehicles (AUVs), balloons, etc. These very complex scenarios have driven the development of new network solutions. The idea of capturing real records of node positions and Signal-to-Noise Ratio (SNR), reproducing these conditions in Network Simulator 3 (ns-3), resulted in simulations with more realistic results. This approach was named Trace-based Simulation (TS), as it allows to reproduce past experiences even if the testbed is turned off, inaccessible, or no longer exists. However, we end up with thousands of SNR samples per second on each node involved in the experiment, which leads to the generation of records that take up several GigaBytes per experiment. Thus TS approach has some limitations. In this dissertation we study the impact of sampling SNR experimental records on the accuracy of ns-3 simulations based on the TS approach.
publishDate 2021
dc.date.none.fl_str_mv 2021-10-12
2021-10-12T00:00:00Z
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TID:202827712
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identifier_str_mv TID:202827712
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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