Implementation of cognitive radio for wireless sensor networks in congested IoT environment

Implementation of cognitive radio for wireless sensor networks in congested IoT environment

Nowadays, billions of smart objects are immersed in the communication world; sensing, interacting, and cooperating with each other to enable efficient services. That’s why this work was divided in to three major IoT network related Cognitive Radio (CR). First, when we think about IoT, "classifi...

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Autor principal: Mamo Besher, Kedir
Otros Autores: Nieto Hipólito, Juan Iván
Lenguaje:spa
Publicado: Universidad Autónoma de Baja California, Ensenada. 2022
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Ingeniería||Tesis
TK103.2 M352 2021
Acceso en línea:https://hdl.handle.net/20.500.12930/9099
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spelling repositorioinstitucional-20.500.12930-90992023-05-14T18:14:49Z Implementation of cognitive radio for wireless sensor networks in congested IoT environment Mamo Besher, Kedir Nieto Hipólito, Juan Iván Ingeniería||Tesis TK103.2 M352 2021 Nowadays, billions of smart objects are immersed in the communication world; sensing, interacting, and cooperating with each other to enable efficient services. That’s why this work was divided in to three major IoT network related Cognitive Radio (CR). First, when we think about IoT, "classification" is a major challenge particularly if our technology is international level applicable. So, this limitation needs clear and deep analysis of the existing classification matrices and propose some future directions. That is why we decided to start our study by understanding the existing IoT classifications. Second, results from our first research helped us to start a way how to implement CR in IoT. It is known that after the introduction of CR in IOT technology in communication, the hot research topics are: i) sensing, ii) Primary User Interference (PUI), iii) spectrum management, iv) security, v) spectrum sharing, and vi) environmental sensing. Among the listed, sensing and Primary User Interference are the bold ones. The base query for these two problems laysfinding a means for which and what channel at a particular time is available and avoiding interference with Primary Users (PU). 2022-07-13T04:46:31Z 2022-07-13T04:46:31Z 2021 https://hdl.handle.net/20.500.12930/9099 spa https://drive.google.com/file/d/1mByVpXZC9sViPzyPPUZqM3Q68K9DDC_U/view?usp=sharing openAccess http://creativecommons.org/licenses/by-nc-nd/4 55 p. : il. pdf application/pdf Ensenada, Baja California. Universidad Autónoma de Baja California, Ensenada.
institution Repositorio Institucional
collection DSpace
language spa
topic Ingeniería||Tesis
TK103.2 M352 2021
spellingShingle Ingeniería||Tesis
TK103.2 M352 2021
Mamo Besher, Kedir
Implementation of cognitive radio for wireless sensor networks in congested IoT environment
description Nowadays, billions of smart objects are immersed in the communication world; sensing, interacting, and cooperating with each other to enable efficient services. That’s why this work was divided in to three major IoT network related Cognitive Radio (CR). First, when we think about IoT, "classification" is a major challenge particularly if our technology is international level applicable. So, this limitation needs clear and deep analysis of the existing classification matrices and propose some future directions. That is why we decided to start our study by understanding the existing IoT classifications. Second, results from our first research helped us to start a way how to implement CR in IoT. It is known that after the introduction of CR in IOT technology in communication, the hot research topics are: i) sensing, ii) Primary User Interference (PUI), iii) spectrum management, iv) security, v) spectrum sharing, and vi) environmental sensing. Among the listed, sensing and Primary User Interference are the bold ones. The base query for these two problems laysfinding a means for which and what channel at a particular time is available and avoiding interference with Primary Users (PU).
author2 Nieto Hipólito, Juan Iván
author_facet Nieto Hipólito, Juan Iván
Mamo Besher, Kedir
author Mamo Besher, Kedir
author_sort Mamo Besher, Kedir
title Implementation of cognitive radio for wireless sensor networks in congested IoT environment
title_short Implementation of cognitive radio for wireless sensor networks in congested IoT environment
title_full Implementation of cognitive radio for wireless sensor networks in congested IoT environment
title_fullStr Implementation of cognitive radio for wireless sensor networks in congested IoT environment
title_full_unstemmed Implementation of cognitive radio for wireless sensor networks in congested IoT environment
title_sort implementation of cognitive radio for wireless sensor networks in congested iot environment
publisher Universidad Autónoma de Baja California, Ensenada.
publishDate 2022
url https://hdl.handle.net/20.500.12930/9099
_version_ 1792610238305665024

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