Deep Learning Based Solutions for Vehicular Adhoc Networks

Inbunden, Engelska, 2025

Del i serien Studies in Computational Intelligence

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Beskrivning

This book provides a holistic and comprehensive approach to deep learning for vehicular ad hoc networks (VANETs), covering various aspects such as applications, agency involvement, and potential ethical and legal issues.

Produktinformation

Utgivningsdatum:2025-06-09
Mått:155 x 235 x 26 mm
Vikt:848 g
Format:Inbunden
Språk:Engelska
Serie:Studies in Computational Intelligence
Antal sidor:392
Förlag:Springer Nature Switzerland AG
ISBN:9789819651894

Utforska kategorier

Nätverk och kommunikation inom Data och IT
Artificiell intelligens inom Data och IT
Systemvetenskap och AI inom Data och IT

Innehållsförteckning

Overview of Vehicular Ad Hoc Networks.- Architecture and Protocols for data transmission in VANETs.- Applications and Challenges in VANETs.- Deep Learning Architectures for VANET.- Deep Learning for Security in VANET Secure Data Transmission in VANET.- Deep Learning for Resource Allocation in VANET.- Deep Learning for Traffic Prediction in VANET.- Traffic Prediction and modeling in Vehicular Ad Hoc Networks.- Traffic Data Collection and Processing in VANETs.- Deep Learning for Autonomous VANETs.- Implementation and Deployment of Deep Learning in Vehicular Ad Hoc Networks.- Deployment Strategies for Deep Learning in VANETs.- Energy Efficiency Deep Learning techniques in VANETs.- Case Studies and Real-World Deployment Examples.- Future Research Directions in Deep Learning for VANET.- Emerging Trends in VANETs.- Research Challenges and Open Issues in deploying deep learning models in VANETs.- Simulation/Emulation Platforms for Deep Learning in VANETs.- A framework to simulate VANETs.