ADAPTIVE ACQUISITION AND DISSEMINATION OF CONTEXT DATA IN INTELLIGENT TRANSPORTATION SYSTEMS NETWORKS

Mindaugas Kurmis, Dalė Dzemydienė

Abstract


In this work it is analyzed one of the transport, logistics and IRT problems – context data dissemination in ITS networks based onlocation estimation and data transfer technologies for heterogeneous service support, transport management centers, route planningand trip time minimization and etc. The vehicle as the context information source generates a huge amount of different informationincluding from physical vehicle and environment sensors. The implementation of an efficient and scalable model for informationdissemination in VANETs confronts with major problems. In this dynamic environment, an increasing number of context disseminationmessages are increasing channels utilization which affects the network performance. This article discusses analyses and assessesthe key proposals how to deal with the context data dissemination and how to decrease the amounts of transferred and stored data invehicular cooperation environment. This is one of the most important topics of the pervasive computing.

KEYWORDS: VANET, vehicular communication networks, service support, heterogeneus services


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