ISBN13: | 9781032257556 |
ISBN10: | 1032257555 |
Binding: | Hardback |
No. of pages: | 216 pages |
Size: | 234x156 mm |
Weight: | 557 g |
Language: | English |
Illustrations: | 69 Illustrations, black & white; 6 Halftones, black & white; 63 Line drawings, black & white; 14 Tables, black & white |
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Cognitive Radio-based Internet of Vehicles
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The incorporation of Cognitive Radio (CR) into the Internet of Vehicles (IoV) has emerged as the Intelligent Transportation System (ITS). 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.
Personal Webpage: https://sites.google.com/site/mubrehmani/
About the Editors. List of Contributors. Section 1: Introduction to CR-IoV. Chapter 1: Intelligent Transportation System in Cognitive Radio Internet of Vehicles. Section 2: Machine Learning in CR-IoV. Chapter 2: Machine Learning Applications in CR-IoV. Chapter 3: Machine Learning Techniques in Conjunction with Data Science Applications for CR-IoV. Section 3: Protocol and Infrastructure. Chapter 4: Minimized Channel Switching and Routing (MCSR) Protocol for Cognitive Radio-based Internet of Vehicles. Chapter 5: Time Synchronization in Cognitive Radio-based Internet of Vehicles. Section 4: Data Science Applications. Chapter 6: Data Science Applications, Approaches, and Challenges in Cognitive Radio-Based IoV Systems. Section 5: Security and Quality of Service. Chapter 7: Security Threats and Countermeasures in Internet of Vehicles (IoV). Chapter 8: QoS Provisioning in CR-IoV