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Brno University of Technology, Czech Republic

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Institute of Medical Technology and Equipment, Poland

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Honeywell International, Czech Republic

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Delhi Technological University, India

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Shantou University, China

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VSB - Technical University of Ostrava, Czech Republic

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Tomas Bata University in Zlin, Czech Republic

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Technical University of Cluj Napoca, Romania

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National Research University "MPEI", Russian Federation

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Guanajuato University, Mexico

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Technical University of Cluj Napoca, Romania

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Warsaw University of Technology, Poland

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Isfahan University of Technology, Iran, Islamic Republic Of

Mauro Tropea
DIMES Department of University of Calabria, Italy

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Academy of Sciences of the Czech Republic, Czech Republic

Jiri Vodrazka
Czech Technical University in Prague, Czech Republic

Miroslav Voznak
VSB - Technical University of Ostrava, Czech Republic

He Wen
Hunan University, China

Otakar Wilfert
Brno University of Technology, Czech Republic


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Development of the Real Time Situation Identification Model for Adaptive Service Support in Vehicular Communication Networks Domain

Mindaugas Kurmis, Arunas Andziulis, Dale Dzemydiene, Sergej Jakovlev, Miroslav Voznak, Darius Drungilas

DOI: 10.15598/aeee.v11i5.882


Abstract

The article discusses analyses and assesses the key proposals how to deal with the situation identification for the heterogeneous service support in vehicular cooperation environment. This is one of the most important topics of the pervasive computing. Without the solution it is impossible to adequately respond to the user's needs and to provide needed services in the right place at the right moment and in the right way. In this work we present our developed real time situation identification model for adaptive service support in vehicular communication networks domain. Our solution is different from the others as it uses additional virtual context information source - information from other vehicles which for our knowledge is not addressed in the past. The simulation results show the promising context exchange rate between vehicles. The other vehicles provided additional context source in our developed model helps to increase situations identification level.

Keywords


Adaptive service support; context aware; situation identification; vehicular communication networks.

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