Cloud-based big data analytics in vehicular ad-hoc networks

Cloud-based big data analytics in vehicular ad-hoc networks

by Das, Sanjoy Kaiwartya, Omprakash Rao, Ram Shringar Singh, Nanhay

Type Book
Rate 0.0 /5

"This book covers a range of new concepts in emerging VANETs including the integration with cloud computing and big data analytics, emerging wireless networking concepts, and computing models"--

Read More ↓

Title Statements

  • Full title :Cloud-based big data analytics in vehicular ad-hoc networks / Ram Shringar Rao, Nanhay Singh, Omprakash Kaiwartya, Sanjoy Das.

Summary

"This book covers a range of new concepts in emerging VANETs including the integration with cloud computing and big data analytics, emerging wireless networking concepts, and computing models"--

Read More ↓

Edition Statements

  • Publication Date:2021

Publication Statements

Notes

"Premier Reference Source" -- taken from front cover.

The Physical Object

  • Description:1 online resource (xix, 312 pages) : : color illustrations.

Edition Identifiers

  • ISBN:9781799827665, 1799827666, 9781799827672, 1799827674
  • oclc:on1122683304
  • LC Classification:TE228.37
  • Dewey Decimal:388.3/12

Table of Contents

Chapter 1. An approach towards intelligent traffic environment using machine learning algorithms -- Chapter 2. Geocast routing protocols for ad-hoc networks: comparative analysis and open issues -- Chapter 3. Evaluation of topology-based routing protocols for dissemination of emergency messages in urban vehicular traffic scenarios in India -- Chapter 4. Survey on VANET and various applications of Internet of things -- Chapter 5. Two-stage non-cooperative game model for vertical handoffs in heterogeneous wireless networks -- Chapter 6. A fuzzy multi-criteria decision-making method for managing network security risk perspective -- Chapter 7. Software-defined vehicular adhoc network: a theoretical approach -- Chapter 8. Vehicle monitoring and surveillance through vehicular sensor network -- Chapter 9. Routing in vehicular delay tolerant networks: a comparision -- Chapter 10. Energy harvesting for wireless sensor nodes using rectenna -- Chapter 11. Cloud computing technologies.

Read More ↓

Subjects

Writers

More from this Series

  • Progressions and innovations in model-driven software engineering

    cop. 2013.
    more →
    Progressions and innovations in model-driven software engineering
  • Advances and applications in model-driven engineering

    2014
    more →
    Advances and applications in model-driven engineering
  • Advances and applications in model-driven engineering

    2014
    more →
    Advances and applications in model-driven engineering
  • Advances and Applications in Model-Driven Engineering

    2013.
    more →
    Advances and Applications in Model-Driven Engineering
  • Advances and applications in model-driven engineering

    2014
    more →
    Advances and applications in model-driven engineering

Rate & Review

0.0/5
(0 people Voted)

No reviews yet. Be the first to rate this work.

Files & Downloads

No downloadable files are registered for this work yet.