Cognitive radio based internet of vehicles: architectures, applications and open issues
"The incorporation of Cognitive Radio (CR) into the Internet of Vehicles (IoV) has emerged as the Intelligent Transportation System (ITS). Section 1 covers the aspects of cognitive radio when it provides support to IoV. The challenges which limit the performance of ITS are highlighted in this c...
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| Beteiligte Personen: | , |
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| Weitere beteiligte Personen: | |
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Boca Raton, FL
CRC Press
2025
|
| Ausgabe: | First edition. |
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781040052198/?ar |
| Zusammenfassung: | "The incorporation of Cognitive Radio (CR) into the Internet of Vehicles (IoV) has emerged as the Intelligent Transportation System (ITS). Section 1 covers the aspects of cognitive radio when it provides support to IoV. The challenges which limit the performance of ITS are highlighted in this chapter. These issues include unreliable delivery, the dynamic topology of IoV, routing overhead, scalability, and energy, to name a few. The issues can be considered as future research directions for a promising intelligent transportation system. Machine learning (ML) is a promising discipline of Artificial Intelligence (AI) to train the CR-based IoV system so that it can make decisions for improved spectrum utilization. The ML-enabled IoV systems can better adapt to the dynamically changing environment. Section 2 covers the applications of ML techniques to the CR-IoV systems and highlights their issues and challenges. Section 3 covers the examination of ML in conjunction with Data Science applications which further widens the scope of the readership. In CR-IoV, ML and Data Science can be collaboratively used to further enhance road safety through inter-vehicle, intra-vehicle, and beyond-vehicle networks. The channel switching and routing overhead is an important issue in CR-based IoVs. To minimize the channel switching and routing overheads, an effective scheme has been presented in Section 4 to discuss the promising solutions and performance analysis. Meanwhile, IoV communication is a highly time-sensitive application that requires that the vehicles should be synchronized. The time synchronization in IoVs has been highlighted in Section 5 to elaborate further on the critical metrics, challenges, and advancements in synchronization of IoVs. As the vehicles exchange data using wireless channels, they are at risk of being exposed to various security threats. The eavesdropping, identity exposure, message tampering, or sinkhole attack to name a few. It needs time to discuss the security issues and their countermeasures to make the CR-IoV attack resilient. The last section of the book highlights the security issues and maintaining the quality of service (QoS) of the CR-based IoVs which concludes the book. The targeted audience of this book can be undergraduate and graduate-level students, researchers, scientists, academicians, and professionals in the industry. This book will greatly help the readers to understand the application scenarios, the issues and challenges, and the possible solutions. All the chapters highlight the future research directions that can be taken as research topics for future research"-- |
| Beschreibung: | Includes bibliographical references and index. - Description based on print version record and CIP data provided by publisher; resource not viewed |
| Umfang: | 1 Online-Ressource |
| ISBN: | 9781003284871 1003284876 9781040052181 1040052185 9781040052198 1040052193 |
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| 245 | 1 | 0 | |a Cognitive radio based internet of vehicles |b architectures, applications and open issues |c edited by Syed Hashim Raza Bukhari, Muhammad Maaz Rehan, Mubashir Husain Rehmani |
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| author | Bukhari, Syed Hashim Raza Rehan, Muhammad Maaz |
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| discipline | Elektrotechnik / Elektronik / Nachrichtentechnik |
| edition | First edition. |
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| spelling | Cognitive radio based internet of vehicles architectures, applications and open issues edited by Syed Hashim Raza Bukhari, Muhammad Maaz Rehan, Mubashir Husain Rehmani First edition. 2407 Boca Raton, FL CRC Press 2025 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes bibliographical references and index. - Description based on print version record and CIP data provided by publisher; resource not viewed "The incorporation of Cognitive Radio (CR) into the Internet of Vehicles (IoV) has emerged as the Intelligent Transportation System (ITS). Section 1 covers the aspects of cognitive radio when it provides support to IoV. The challenges which limit the performance of ITS are highlighted in this chapter. These issues include unreliable delivery, the dynamic topology of IoV, routing overhead, scalability, and energy, to name a few. The issues can be considered as future research directions for a promising intelligent transportation system. Machine learning (ML) is a promising discipline of Artificial Intelligence (AI) to train the CR-based IoV system so that it can make decisions for improved spectrum utilization. The ML-enabled IoV systems can better adapt to the dynamically changing environment. Section 2 covers the applications of ML techniques to the CR-IoV systems and highlights their issues and challenges. Section 3 covers the examination of ML in conjunction with Data Science applications which further widens the scope of the readership. In CR-IoV, ML and Data Science can be collaboratively used to further enhance road safety through inter-vehicle, intra-vehicle, and beyond-vehicle networks. The channel switching and routing overhead is an important issue in CR-based IoVs. To minimize the channel switching and routing overheads, an effective scheme has been presented in Section 4 to discuss the promising solutions and performance analysis. Meanwhile, IoV communication is a highly time-sensitive application that requires that the vehicles should be synchronized. The time synchronization in IoVs has been highlighted in Section 5 to elaborate further on the critical metrics, challenges, and advancements in synchronization of IoVs. As the vehicles exchange data using wireless channels, they are at risk of being exposed to various security threats. The eavesdropping, identity exposure, message tampering, or sinkhole attack to name a few. It needs time to discuss the security issues and their countermeasures to make the CR-IoV attack resilient. The last section of the book highlights the security issues and maintaining the quality of service (QoS) of the CR-based IoVs which concludes the book. The targeted audience of this book can be undergraduate and graduate-level students, researchers, scientists, academicians, and professionals in the industry. This book will greatly help the readers to understand the application scenarios, the issues and challenges, and the possible solutions. All the chapters highlight the future research directions that can be taken as research topics for future research"-- Cognitive radio networks Intelligent transportation systems Radio cognitive Systèmes de transport intelligents COMPUTERS / Hardware / Network Hardware COMPUTERS / Networking / Network Protocols Bukhari, Syed Hashim Raza VerfasserIn aut Rehan, Muhammad Maaz VerfasserIn aut Rehmani, Mubashir Husain 1983- HerausgeberIn edt 9781032257556 Erscheint auch als Druck-Ausgabe 9781032257556 |
| spellingShingle | Bukhari, Syed Hashim Raza Rehan, Muhammad Maaz Cognitive radio based internet of vehicles architectures, applications and open issues Cognitive radio networks Intelligent transportation systems Radio cognitive Systèmes de transport intelligents COMPUTERS / Hardware / Network Hardware COMPUTERS / Networking / Network Protocols |
| title | Cognitive radio based internet of vehicles architectures, applications and open issues |
| title_auth | Cognitive radio based internet of vehicles architectures, applications and open issues |
| title_exact_search | Cognitive radio based internet of vehicles architectures, applications and open issues |
| title_full | Cognitive radio based internet of vehicles architectures, applications and open issues edited by Syed Hashim Raza Bukhari, Muhammad Maaz Rehan, Mubashir Husain Rehmani |
| title_fullStr | Cognitive radio based internet of vehicles architectures, applications and open issues edited by Syed Hashim Raza Bukhari, Muhammad Maaz Rehan, Mubashir Husain Rehmani |
| title_full_unstemmed | Cognitive radio based internet of vehicles architectures, applications and open issues edited by Syed Hashim Raza Bukhari, Muhammad Maaz Rehan, Mubashir Husain Rehmani |
| title_short | Cognitive radio based internet of vehicles |
| title_sort | cognitive radio based internet of vehicles architectures applications and open issues |
| title_sub | architectures, applications and open issues |
| topic | Cognitive radio networks Intelligent transportation systems Radio cognitive Systèmes de transport intelligents COMPUTERS / Hardware / Network Hardware COMPUTERS / Networking / Network Protocols |
| topic_facet | Cognitive radio networks Intelligent transportation systems Radio cognitive Systèmes de transport intelligents COMPUTERS / Hardware / Network Hardware COMPUTERS / Networking / Network Protocols |
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