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.
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Kurmis, M. et al. (2014). Prediction Based Context Data Dissemination and Storage Model for Cooperative Vehicular Networks. In: Zelinka, I., Suganthan, P., Chen, G., Snasel, V., Abraham, A., Rössler, O. (eds) Nostradamus 2014: Prediction, Modeling and Analysis of Complex Systems. Advances in Intelligent Systems and Computing, vol 289. Springer, Cham. https://doi.org/10.1007/978-3-319-07401-6_3
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DOI: https://doi.org/10.1007/978-3-319-07401-6_3
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-07400-9
Online ISBN: 978-3-319-07401-6
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