Cognitive Radio-based Internet of Vehicles - Bukhari, Syed Hashim Raza; Rehan, Muhammad Maaz; Rehmani, Mubashir Husain; (szerk.) - Prospero Internetes Könyváruház

Cognitive Radio-based Internet of Vehicles: Architectures, Applications and Open issues
 
A termék adatai:

ISBN13:9781032257556
ISBN10:1032257555
Kötéstípus:Keménykötés
Terjedelem:216 oldal
Méret:234x156 mm
Súly:557 g
Nyelv:angol
Illusztrációk: 69 Illustrations, black & white; 6 Halftones, black & white; 63 Line drawings, black & white; 14 Tables, black & white
679
Témakör:

Cognitive Radio-based Internet of Vehicles

Architectures, Applications and Open issues
 
Kiadás sorszáma: 1
Kiadó: CRC Press
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Rövid leírás:

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.

Hosszú leírás:
1 in all Engineering disciplines from Pakistan Council for Science and Technology (PCST), Government of Pakistan. He received Best Paper Award in 2017 from Higher Education Commission (HEC), Government of Pakistan. He is the recipient of Best Paper Award in 2018 from Elsevier Journal of Network and Computer Applications. He is the recipient of Highly Cited Researcher? award thrice in 2020, 2021, and 2022 by Clarivate, USA. His performance in this context features in the TOP 1% by citations in the field of Computer Science and Cross Field in the Web of Science? citation index. He is the ONLY Researcher from Ireland in the field of ?Computer Science? who received this International prestigious award. In Oct 2022, he received Science Foundation Ireland?s CONNECT Centre?s Education and Public Engagement (EPE) Award 2022 for his research outreach work and being a spokesperson for achieving a work-life balance for a career in research.


Personal Webpage: https://sites.google.com/site/mubrehmani/


 


 

Tartalomjegyzék:

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