Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks
By 作者: Nanhay Singh, Omprakash Kaiwartya, Ram Shringar Rao
pages 页数: 340 pages
Edition 版本: 1
Language 语言: English
Publisher Finelybook 出版社: Engineering Science Reference
Publication Date 出版日期: 2020-08-30
The Book Description robot was collected from Amazon and arranged by Finelybook
Vehicular traffic congestion and accidents remain universal issues in todays 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.
Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks 9781799827658.pdf