
Vehicular Networks: Applications, Performance Analysis and Challenges
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Content
- Intro
- Contents
- Preface
- Vehicular Positioning System
- Abstract
- GNSS Positioning
- LiDAR Positioning
- Multi-Sensor Integrated Positioning System
- Loosely-Coupled Integration System Based on Kalman Filter
- Loosely-Coupled Integration System Based on Graph Optimization
- Graph Generation
- Graph Optimization
- Appendix
- Coordinate Systems for Positioning Systems
- ECEF Coordinate System
- Body-Fixed Coordinate System
- Local Tangent Plane Coordinate System
- Geographic Coordinate System
- Coordinate System Transformation
- References
- Vehicle Trajectory Processing and Big Data Mining
- Abstract
- Introduction
- Vehicle Localization and Trajectory Data Acquisition
- A Two-Task Hierarchical Constrained Tar-Objective Optimization Approach for Vehicle State Estimation
- A Hybrid Approach-Based Sparse Gaussian Kernel Model for Vehicle State Determination during the Free and Completed GPS Outages
- A Novel Probabilistic Approach for Vehicle Position Prediction in Free, Partial, and Full GPS Outages
- Short-Term Traffic Flow Prediction
- Ensemble Real-Time Sequential Extreme Learning Machine
- Initialization Phase
- Sequential Learning Phase
- Predicting Phase
- Experiments and Results
- A Novel Incremental Regression Framework under the Concept Drifting Environment
- Method Overview
- Experiments and Results
- A Novel Regression Framework for Short-Term Traffic Flow Prediction
- Method Overview
- Probability of Improvement(PI)
- Expected Improvement(EI)
- GP Upper Confidence Bound(GP-UCB)
- Experiments and Results
- Understand Travel Regularity
- Trajectory Aggregation Detection Algorithm Based on Trajectory Clustering
- Method Overview
- Experiments Based on Real-World Trajectory Data
- Measuring the Distance between Sparse Trajectories Based on Transfer Learning and IERP
- Construction of the Trajectory Similarity Matrix
- Feature Dimension Reduction
- Mining the Private Cars with Regular Travel Behavior
- Experimental Results
- Trajectory Data Mining of Urban Private Cars
- 3D Kernel Density Estimation
- Optimization of Parameter Selection in SAW Density Prediction
- Experimental Results and Analysis
- Appendix
- Estimation of the Noise Sequences atand ßt Using MLE
- Complexity Analysis of ML Estimation
- Conclusion
- References
- Software-Defined Vehicular Ad-Hoc Networks
- Abstract
- Introduction
- Software-Defined Networking
- Software-Defined Vehicular Networks
- Hierarchical SDVN
- Flat SDVN
- Benefits of Hierarchical SDVN
- Challenges and Potential Solutions
- Conclusion
- References
- Mobile Edge Computing: Architecture, Technology and Direction
- Abstract
- Introduction
- Edge Computing Techniques
- Types of Edge Computing
- Cloudlet Computing
- Fog Computing
- MEC
- MEC Use Cases
- Operator-Oriented Applications
- User-Oriented Applications
- Connected Vehicles
- Augmented Reality
- Accelerated Video Streaming
- Feature Recognition, Interactive Communication and Gaming
- MEC Architecture
- Mobile Micro Cell (MMC)
- Small Cell Cloud
- MobiScud
- Follow Me Cloud (FMC)
- CONCERT
- ETSI Standardization
- Computation Offloading
- Mobility Management
- Security
- Edge Network Security
- Backbone Network Security
- MEC Server Security
- VM Infrastructure Security
- Economic Perspective
- Potential Research Directions
- Software Defined Networking Integration
- Mobility Management
- Computation Offloading
- Resources Management and Scheduling
- Security and Privacy
- Conclusion
- References
- About the Editors
- Index
- Blank Page
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