Abstract
Vehicular communication involves many decision making situations. The existing models for packet routing in VANET fails in cases needing fast decision making. Ambient Intelligence (AmI) system is a relatively new technique which aim at augmenting real environments where users are provided with pervasive virtual services. The ability to learn very quickly from the ambience of an object, and transforming that information into specific response involves a heterogeneous network comprising of vehicles, humans, and road side units. This paper proposes a modular architecture for information sensing, communicating, updation of knowledge-bas, etc, aimed at generating alarms in emergency situations. The emergency situation might involve abnormal physical behaviour, road blockage due to accidents or diversions, etc.
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Ni, S.-Y., Tseng, Y.-C., Chen, Y.-S., Sheu, J.-P.: The Broadcast Storm Problem in a Mobile Ad HocNetwork. In: ACM/IEEE MobiComm (1999)
Xu, Q., Mak, T., Sengupta, R.: Vehicle-to-Vehicle Safety Messaging in DSRC. In: ACM VANET (2004)
Yang, X., Liu, J., Zhao, F., Vaidya, N.: A Vehicle-to-Vehicle Communication Protocol for Cooperative Collision Warning. Mobiquitous (2004)
Torrent-Monero, M., Jeng, D., Hartenstein, H.: Broadcast Reception Rates and Effects of Priority Access in 802.11-Based Vehicular Ad-Hoc Networks. In: ACM VANET (2004)
Bettol, C., Campl, C.: Challenges for Ambient Intelligence: Empowering the Users. IOS press (2005)
Bosse, T., Jonker, C.M., Treur, J.: Formalisation of Damasio’s Theory of Emotion. Feeling and Core Consciousness (2007)
Casari, P., Castellani, A.P., Cenedese, A.: Wireless Sensor Networks for City-Wide Ambient Intelligence (WISE-WAI) Project (2009)
Jones, V., Gay, V., Leijdekkers, P.: Body sensor networks for Mobile Health Monitoring (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Saha, A., Chaki, R. (2011). VAMI – A Novel Architecture for Vehicular Ambient Intelligent System. In: Chaki, N., Cortesi, A. (eds) Computer Information Systems – Analysis and Technologies. Communications in Computer and Information Science, vol 245. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27245-5_9
Download citation
DOI: https://doi.org/10.1007/978-3-642-27245-5_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27244-8
Online ISBN: 978-3-642-27245-5
eBook Packages: Computer ScienceComputer Science (R0)