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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| Språk: | spa |
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Universidad Autónoma de Baja California, Ensenada.
2022
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| Länkar: | https://hdl.handle.net/20.500.12930/9099 |
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| Sammanfattning: | 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). |
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