Prediction based context data dissemination and storage model for cooperative vehicular networks

Mindaugas Kurmis, Dale Dzemydiene, Arunas Andziuli, Miroslav Voznak, Sergej Jakovlev, Zydrunas Lukosius, Gediminas Gricius

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

The vehicle as the context information source generates a huge amount of different information including from physical vehicle and environment sensors. The implementation of an efficient and scalable model for information dissemination in VANETs confronts with major problems. In this dynamic environment, an increasing number of context dissemination messages are increasing channels utilization which affects the network performance. This article discusses analyses and assesses the key proposals how to deal with the context data dissemination and how to decrease the amounts of transferred and stored data in vehicular cooperation environment. This is one of the most important topics of the pervasive computing.

Original languageEnglish
Title of host publicationNostradamus 2014: Prediction, Modeling and Analysis of Complex Systems
PublisherSpringer Verlag
Pages21-30
Number of pages10
Volume289
ISBN (Print)9783319074009
DOIs
Publication statusPublished - 2014
Externally publishedYes
EventInternational conference on prediction, modeling and analysis of complex systems, NOSTRADAMUS 2014 - Ostrava, Czech Republic
Duration: Jun 23 2012Jun 25 2012

Publication series

NameAdvances in Intelligent Systems and Computing
Volume289
ISSN (Print)21945357

Other

OtherInternational conference on prediction, modeling and analysis of complex systems, NOSTRADAMUS 2014
CountryCzech Republic
CityOstrava
Period6/23/126/25/12

Fingerprint

Information dissemination
Ubiquitous computing
Network performance
Sensors

Keywords

  • Context data dissemination
  • Storage
  • VANET
  • Vehicular communication net-works

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

Cite this

Kurmis, M., Dzemydiene, D., Andziuli, A., Voznak, M., Jakovlev, S., Lukosius, Z., & Gricius, G. (2014). Prediction based context data dissemination and storage model for cooperative vehicular networks. In Nostradamus 2014: Prediction, Modeling and Analysis of Complex Systems (Vol. 289, pp. 21-30). (Advances in Intelligent Systems and Computing; Vol. 289). Springer Verlag. https://doi.org/10.1007/978-3-319-07401-6_3

Prediction based context data dissemination and storage model for cooperative vehicular networks. / Kurmis, Mindaugas; Dzemydiene, Dale; Andziuli, Arunas; Voznak, Miroslav; Jakovlev, Sergej; Lukosius, Zydrunas; Gricius, Gediminas.

Nostradamus 2014: Prediction, Modeling and Analysis of Complex Systems. Vol. 289 Springer Verlag, 2014. p. 21-30 (Advances in Intelligent Systems and Computing; Vol. 289).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kurmis, M, Dzemydiene, D, Andziuli, A, Voznak, M, Jakovlev, S, Lukosius, Z & Gricius, G 2014, Prediction based context data dissemination and storage model for cooperative vehicular networks. in Nostradamus 2014: Prediction, Modeling and Analysis of Complex Systems. vol. 289, Advances in Intelligent Systems and Computing, vol. 289, Springer Verlag, pp. 21-30, International conference on prediction, modeling and analysis of complex systems, NOSTRADAMUS 2014, Ostrava, Czech Republic, 6/23/12. https://doi.org/10.1007/978-3-319-07401-6_3
Kurmis M, Dzemydiene D, Andziuli A, Voznak M, Jakovlev S, Lukosius Z et al. Prediction based context data dissemination and storage model for cooperative vehicular networks. In Nostradamus 2014: Prediction, Modeling and Analysis of Complex Systems. Vol. 289. Springer Verlag. 2014. p. 21-30. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-319-07401-6_3
Kurmis, Mindaugas ; Dzemydiene, Dale ; Andziuli, Arunas ; Voznak, Miroslav ; Jakovlev, Sergej ; Lukosius, Zydrunas ; Gricius, Gediminas. / Prediction based context data dissemination and storage model for cooperative vehicular networks. Nostradamus 2014: Prediction, Modeling and Analysis of Complex Systems. Vol. 289 Springer Verlag, 2014. pp. 21-30 (Advances in Intelligent Systems and Computing).
@inproceedings{424c5a8d22784d2fbfa0a57b3e48ce21,
title = "Prediction based context data dissemination and storage model for cooperative vehicular networks",
abstract = "The vehicle as the context information source generates a huge amount of different information including from physical vehicle and environment sensors. The implementation of an efficient and scalable model for information dissemination in VANETs confronts with major problems. In this dynamic environment, an increasing number of context dissemination messages are increasing channels utilization which affects the network performance. This article discusses analyses and assesses the key proposals how to deal with the context data dissemination and how to decrease the amounts of transferred and stored data in vehicular cooperation environment. This is one of the most important topics of the pervasive computing.",
keywords = "Context data dissemination, Storage, VANET, Vehicular communication net-works",
author = "Mindaugas Kurmis and Dale Dzemydiene and Arunas Andziuli and Miroslav Voznak and Sergej Jakovlev and Zydrunas Lukosius and Gediminas Gricius",
year = "2014",
doi = "10.1007/978-3-319-07401-6_3",
language = "English",
isbn = "9783319074009",
volume = "289",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "21--30",
booktitle = "Nostradamus 2014: Prediction, Modeling and Analysis of Complex Systems",

}

TY - GEN

T1 - Prediction based context data dissemination and storage model for cooperative vehicular networks

AU - Kurmis, Mindaugas

AU - Dzemydiene, Dale

AU - Andziuli, Arunas

AU - Voznak, Miroslav

AU - Jakovlev, Sergej

AU - Lukosius, Zydrunas

AU - Gricius, Gediminas

PY - 2014

Y1 - 2014

N2 - The vehicle as the context information source generates a huge amount of different information including from physical vehicle and environment sensors. The implementation of an efficient and scalable model for information dissemination in VANETs confronts with major problems. In this dynamic environment, an increasing number of context dissemination messages are increasing channels utilization which affects the network performance. This article discusses analyses and assesses the key proposals how to deal with the context data dissemination and how to decrease the amounts of transferred and stored data in vehicular cooperation environment. This is one of the most important topics of the pervasive computing.

AB - The vehicle as the context information source generates a huge amount of different information including from physical vehicle and environment sensors. The implementation of an efficient and scalable model for information dissemination in VANETs confronts with major problems. In this dynamic environment, an increasing number of context dissemination messages are increasing channels utilization which affects the network performance. This article discusses analyses and assesses the key proposals how to deal with the context data dissemination and how to decrease the amounts of transferred and stored data in vehicular cooperation environment. This is one of the most important topics of the pervasive computing.

KW - Context data dissemination

KW - Storage

KW - VANET

KW - Vehicular communication net-works

UR - http://www.scopus.com/inward/record.url?scp=84927604646&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84927604646&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-07401-6_3

DO - 10.1007/978-3-319-07401-6_3

M3 - Conference contribution

AN - SCOPUS:84927604646

SN - 9783319074009

VL - 289

T3 - Advances in Intelligent Systems and Computing

SP - 21

EP - 30

BT - Nostradamus 2014: Prediction, Modeling and Analysis of Complex Systems

PB - Springer Verlag

ER -