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Can I read Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks on EtoBox?
Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks by Ram Shringar Rao; Nanhay Singh; Omprakash Kaiwartya; Sanjoy Das is a nonfiction available to read on EtoBox.
What is Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks about?
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 res
Who reads Cloud-Based Big Data Analytics in Vehicular Ad-Hoc Networks?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Ram Shringar Rao; Nanhay Singh; Omprakash Kaiwartya; Sanjoy Das
- Publisher
- Engineering Science Reference, an imprint of IGI Global
- Published
- 2021
- Language
- EN
- ISBN
- 9781799827672
- Category
- nonfiction
- Subjects
- Management, Computer Science, Business
Other editions & translations
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