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Cloud Based Big Data Analytics in Vehicular Ad Hoc Networks 1st Edition by Ram Shringar Rao, Nanhay Singh, Omprakash Kaiwartya 978-1799827641 179982764X

  • SKU: BELL-21970482
Cloud Based Big Data Analytics in Vehicular Ad Hoc Networks 1st Edition by Ram Shringar Rao, Nanhay Singh, Omprakash Kaiwartya 978-1799827641 179982764X
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Cloud Based Big Data Analytics in Vehicular Ad Hoc Networks 1st Edition by Ram Shringar Rao, Nanhay Singh, Omprakash Kaiwartya 978-1799827641 179982764X instant download after payment.

Publisher: IGI Global
File Extension: PDF
File size: 8.96 MB
Pages: 312
Author: Asa Christiana
ISBN: 9781799827658, 1799827658
Language: English
Year: 2020

Product desciption

Cloud Based Big Data Analytics in Vehicular Ad Hoc Networks 1st Edition by Ram Shringar Rao, Nanhay Singh, Omprakash Kaiwartya 978-1799827641 179982764X by Asa Christiana 9781799827658, 1799827658 instant download after payment.

Cloud Based Big Data Analytics in Vehicular Ad Hoc Networks 1st Edition by Ram Shringar Rao, Nanhay Singh, Omprakash Kaiwartya - Ebook PDF Instant Download/Delivery: 179982764X, 978-1799827641

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Product details:

ISBN 10: 179982764X

ISBN 13: 978-1799827641

Author: Ram Shringar Rao, Nanhay Singh, Omprakash Kaiwartya

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.

Table of contents:

  1. An Approach Towards Intelligent Traffic Environment Using Machine Learning Algorithms

  2. Geocast Routing Protocols for Ad-Hoc Networks

  3. Evaluation of Topology-Based Routing Protocols for Dissemination of Emergency Messages in Urban Vehicular Traffic Scenarios in India

  4. Survey on VANET and Various Applications of Internet of Things

  5. Two-Stage Non-Cooperative Game Model for Vertical Handoffs in Heterogeneous Wireless Networks

  6. A Fuzzy Multi-Criteria Decision-Making Method for Managing Network Security Risk Perspective

  7. Software-Defined Vehicular Adhoc Network

  8. Vehicle Monitoring and Surveillance Through Vehicular Sensor Network

  9. Routing in Vehicular Delay Tolerant Networks

  10. Energy Harvesting for Wireless Sensor Nodes Using Rectenna

  11. Cloud Computing Technologies

  12. Compilation of References

  13. Related References

  14. About the Contributors

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Tags: Ram Shringar Rao, Nanhay Singh, Omprakash Kaiwartya, Cloud

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