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Intelligent Computing and Communication for the Internet of Vehicles

This book investigates intelligent network resource management for IoV, with the objective of maximizing the communication and computing performance of vehicle users. Focusing on two representative use cases in IoV, i.e., safety message broadcast and autonomous driving, the authors propose link-laye...

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Bibliographic Details
Main Authors: Li, Mushu (Author), Gao, Jie (Author), Shen, Xuemin (Sherman) (Author), Zhao, Lian (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Edition:1st ed. 2023.
Series:SpringerBriefs in Computer Science,
Subjects:
Computer networks .
Wireless communication systems.
Mobile communication systems.
Transportation engineering.
Traffic engineering.
Computer Communication Networks.
Wireless and Mobile Communication.
Transportation Technology and Traffic Engineering.
Online Access:https://doi.org/10.1007/978-3-031-22860-5
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Table of Contents:
  • 1 Introduction
  • 1.1 Internet of Vehicles (IoV)
  • 1.2 IoV Use Cases
  • 1.3 Network Characteristics in IoV
  • 1.4 Outline of the Monograph
  • References
  • 2 Overview of Communication and Computing in IoV
  • 2.1 Communication and Computing in IoV
  • 2.2 V2X Communication Protocols
  • 2.3 Vehicular Computing Resource Scheduling
  • References
  • 3 Protocol Design for Safety Message Broadcast
  • 3.1 Communication in Safety Message Broadcast
  • 3.2 Network Scenario
  • 3.2.1 Basic Settings
  • 3.2.2 Features of Safety Message Broadcast
  • 3.2.3 Assumptions
  • 3.3 CIDC: A Distributed and Adaptive MAC Design
  • 3.3.1 Messaging Mechanism Design
  • 3.3.2 Contention Intensity Estimation Method
  • 3.3.3 Channel Access Mechanism Design
  • 3.4 CIDC: Network-Perspective Modeling
  • 3.5 CIDC: Performance Analysis
  • 3.5.1 Basic Features
  • 3.5.2 Packet-to-Slot Ratio
  • 3.5.3 Contention Intensity and Contention Delay
  • 3.5.4 Collision Conditions and Probability
  • 3.6 Performance Evaluation
  • vii
  • viii Contents
  • 3.6.1 Performance with Accurate Contention Intensity
  • Estimation
  • 3.6.2 A Comparison of Analytical and Numerical Results
  • 3.6.3 Performance under Contention Intensity Estimation
  • Errors
  • 3.7 Summary
  • References
  • 4 Computing Scheduling for Autonomous Driving
  • 4.1 Computing in Autonomous Driving
  • 4.2 System Model
  • 4.2.1 Network Model
  • 4.2.2 Computing Scheduling Scenarios
  • 4.2.3 Age of Computing Results
  • 4.3 Adaptive Computing Resource Scheduling
  • 4.3.1 Restless Multi-armed Bandit Formulation
  • 4.3.2 Indexability and Index Policy
  • 4.4 Machine Learning-based Scheduling Policy
  • 4.4.1 DRL-assisted Scheduling
  • 4.4.2 Scheduling Scheme for Asynchronous Offloading
  • 4.5 Performance Evaluation
  • 4.5.1 Numerical Results
  • 4.5.2 Simulation in a Real Dataset
  • 4.6 Summary
  • References
  • 5 Conclusions
  • 5.1 Conclusions on Intelligent Computing and Communication
  • in IoV
  • 5.2 Open Research Problems.

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