Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks

Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks

Ram Shringar Rao (Ambedkar Institute of Advanced Communication Technologies and Research, India), Nanhay Singh (Ambedkar Institute of Advanced Communication Technologies and Research, India), Omprakash Kaiwartya (School of Science and Technology, Nottingham Trent University, UK) and Sanjoy Das (Indira Gandhi National Tribal University, India)
Release Date: September, 2020|Copyright: © 2021 |Pages: 312
DOI: 10.4018/978-1-7998-2764-1
ISBN13: 9781799827641|ISBN10: 179982764X|EISBN13: 9781799827665|ISBN13 Softcover: 9781799827658
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Description & Coverage
Description:

Vehicular traffic congestion and accidents remain universal issues in today’s world. Due to the continued growth in the use of vehicles, optimizing traffic management operations is an immense challenge. To reduce the number of traffic accidents, improve the performance of transportation systems, enhance road safety, and protect the environment, vehicular ad-hoc networks have been introduced. Current developments in wireless communication, computing paradigms, big data, and cloud computing enable the enhancement of these networks, equipped with wireless communication capabilities and high-performance processing tools.

Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks is a pivotal reference source that provides vital research on cloud and data analytic applications in intelligent transportation systems. While highlighting topics such as location routing, accident detection, and data warehousing, this publication addresses future challenges in vehicular ad-hoc networks and presents viable solutions. This book is ideally designed for researchers, computer scientists, engineers, automobile industry professionals, IT practitioners, academicians, and students seeking current research on cloud computing models in vehicular networks.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Accident Detection
  • Cloud Computing
  • Data Security
  • Data Warehousing
  • Intelligent Vehicular Safety
  • Location Routing
  • Machine Learning
  • Parking Analysis
  • Predictive Traffic Modeling
  • Smart Charging
  • Vehicular Sensor Networks
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