Name: Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks (en Inglés)
SKU: 56686933
Price: 709.54 PEN
Availability: InStock
Author: Rao, Ram Shringar ; Singh, Nanhay ; Kaiwartya, Omprakash
ISBN: 9781799827641

portada Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks (en Inglés)

Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks (en Inglés)

Formato

Libro Físico

Editorial

Engineering Science Reference

Autor

Rao, Ram Shringar ; Singh, Nanhay ; Kaiwartya, Omprakash

Idioma

Inglés

N° páginas

300

Encuadernación

Tapa Dura

Dimensiones

27.9x21.6x2.1 cm

Peso

1.08 kg.

ISBN13

9781799827641

Categorías

Bases de datos
Computación en la nube
Transporte: interés general

Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks (en Inglés)

Rao, Ram Shringar ; Singh, Nanhay ; Kaiwartya, Omprakash (Autor) · Engineering Science Reference · Tapa Dura

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Reseña del libro "Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks (en Inglés)"

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.