Cloud-based big data analytics in vehicular ad-hoc networks:
"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" - Provided by publisher
Gespeichert in:
| Weitere Verfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey PA, USA
IGI Global, Publisher of Timely Knowledge
[2021]
|
| Schriftenreihe: | A volume in the Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series
Premier reference source |
| Schlagworte: | |
| Online-Zugang: | DE-1050 DE-91 DE-706 DE-83 DE-898 Volltext |
| Zusammenfassung: | "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" - Provided by publisher |
| Beschreibung: | 1 Online-Ressource (xix, 312 Seiten) Illustrationen, Diagramme |
| ISBN: | 9781799827665 |
| ISSN: | 2327-3461 |
| DOI: | 10.4018/978-1-7998-2764-1 |
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| 245 | 1 | 0 | |a Cloud-based big data analytics in vehicular ad-hoc networks |c Ram Shringar Rao (Ambedkar Institute of Advanced Communication Technologies and Research, India), Nanhay Singh (Ambedkar Institute of Advanced Communication Technologies and Research, India), Omprakash Kaiwartya (School of Science and Technology, Nottingham Trent University, UK), Sanjoy Das (Indira Gandhi National Tribal University, India) |
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| 505 | 8 | |a 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 | |
| 520 | |a "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" - Provided by publisher | ||
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Datensatz im Suchindex
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| 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 |
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| id | DE-604.BV047027431 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:01:23Z |
| indexdate | 2024-07-20T06:01:27Z |
| institution | BVB |
| isbn | 9781799827665 |
| issn | 2327-3461 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032434780 |
| oclc_num | 1224484260 |
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| physical | 1 Online-Ressource (xix, 312 Seiten) Illustrationen, Diagramme |
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| publishDate | 2021 |
| publishDateSearch | 2021 |
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| publisher | IGI Global, Publisher of Timely Knowledge |
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| series2 | A volume in the Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series Premier reference source |
| spelling | Cloud-based big data analytics in vehicular ad-hoc networks Ram Shringar Rao (Ambedkar Institute of Advanced Communication Technologies and Research, India), Nanhay Singh (Ambedkar Institute of Advanced Communication Technologies and Research, India), Omprakash Kaiwartya (School of Science and Technology, Nottingham Trent University, UK), Sanjoy Das (Indira Gandhi National Tribal University, India) Hershey PA, USA IGI Global, Publisher of Timely Knowledge [2021] © 2021 1 Online-Ressource (xix, 312 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier A volume in the Advances in systems analysis, software engineering, and high performance computing (ASASEHPC) book series 2327-3461 Premier reference source 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 "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" - Provided by publisher Vehicular ad hoc networks (Computer networks) Big data Cloud computing Chemistry, Analytic / Quantitative Big data fast Chemistry, Analytic / Quantitative fast Cloud computing fast Vehicular ad hoc networks (Computer networks) fast Rao, Ram Shringar edt Singh, Nanhay edt Kaiwartya, Omprakash edt Das, Sanjoy edt Erscheint auch als Druck-Ausgabe, hardcover 978-1-7998-2764-1 Erscheint auch als Druck-Ausgabe, hardcover 1-7998-2764-X Erscheint auch als Druck-Ausgabe, softcover 978-1-7998-2765-8 https://doi.org/10.4018/978-1-7998-2764-1 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Cloud-based big data analytics in vehicular ad-hoc networks 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 Vehicular ad hoc networks (Computer networks) Big data Cloud computing Chemistry, Analytic / Quantitative Big data fast Chemistry, Analytic / Quantitative fast Cloud computing fast Vehicular ad hoc networks (Computer networks) fast |
| title | Cloud-based big data analytics in vehicular ad-hoc networks |
| title_auth | Cloud-based big data analytics in vehicular ad-hoc networks |
| title_exact_search | Cloud-based big data analytics in vehicular ad-hoc networks |
| title_exact_search_txtP | Cloud-based big data analytics in vehicular ad-hoc networks |
| title_full | Cloud-based big data analytics in vehicular ad-hoc networks Ram Shringar Rao (Ambedkar Institute of Advanced Communication Technologies and Research, India), Nanhay Singh (Ambedkar Institute of Advanced Communication Technologies and Research, India), Omprakash Kaiwartya (School of Science and Technology, Nottingham Trent University, UK), Sanjoy Das (Indira Gandhi National Tribal University, India) |
| title_fullStr | Cloud-based big data analytics in vehicular ad-hoc networks Ram Shringar Rao (Ambedkar Institute of Advanced Communication Technologies and Research, India), Nanhay Singh (Ambedkar Institute of Advanced Communication Technologies and Research, India), Omprakash Kaiwartya (School of Science and Technology, Nottingham Trent University, UK), Sanjoy Das (Indira Gandhi National Tribal University, India) |
| title_full_unstemmed | Cloud-based big data analytics in vehicular ad-hoc networks Ram Shringar Rao (Ambedkar Institute of Advanced Communication Technologies and Research, India), Nanhay Singh (Ambedkar Institute of Advanced Communication Technologies and Research, India), Omprakash Kaiwartya (School of Science and Technology, Nottingham Trent University, UK), Sanjoy Das (Indira Gandhi National Tribal University, India) |
| title_short | Cloud-based big data analytics in vehicular ad-hoc networks |
| title_sort | cloud based big data analytics in vehicular ad hoc networks |
| topic | Vehicular ad hoc networks (Computer networks) Big data Cloud computing Chemistry, Analytic / Quantitative Big data fast Chemistry, Analytic / Quantitative fast Cloud computing fast Vehicular ad hoc networks (Computer networks) fast |
| topic_facet | Vehicular ad hoc networks (Computer networks) Big data Cloud computing Chemistry, Analytic / Quantitative |
| url | https://doi.org/10.4018/978-1-7998-2764-1 |
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