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An Efficient Sensor Network Architecture Using Open Platform in Vehicle Environment

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Ubiquitous Convergence Technology (ICUCT 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4412))

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Abstract

Vehicles have been developed with an objective of safety. A large number of sensors will be required in Advanced Safety Vehicles that provide intelligent and automatic services in future ITS(Intelligent Transport Systems) circumstances. Because current in-vehicle networks must be changed to add new sensors, the number of sensors that can be added is restricted in current in-vehicle networks. To manage the sensors more efficiently and to provide extensibility, we propose a SCSN (Smart Car Sensor Network), which is an in-vehicle architecture based on AMI-C and OSGi standards. In this architecture, Vehicle Interface (VI), defined in the AMI-C standard, performs as a gateway in an AMI-C network. An integrated VI structure has been developed to provide a Vehicle Service (VS) on a standard platform. An interworking structure with a CAN(Controller Area Network) interface is implemented to provide an efficient VI. In current telematics architecture, time delay occurs between the CAN network start-up time and the platform booting time. Message loss occurs during this time delay. In this paper, we propose an efficient gateway architecture to minimize message loss due to this time delay. The efficiency of this platform has been verified using CANoe, which is a vehicle-network simulation tool.

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Frank Stajano Hyoung Joong Kim Jong-Suk Chae Seong-Dong Kim

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© 2007 Springer Berlin Heidelberg

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Yim, Hb., Park, Ps., Moon, Hs., Jung, Ji. (2007). An Efficient Sensor Network Architecture Using Open Platform in Vehicle Environment. In: Stajano, F., Kim, H.J., Chae, JS., Kim, SD. (eds) Ubiquitous Convergence Technology. ICUCT 2006. Lecture Notes in Computer Science, vol 4412. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71789-8_24

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  • DOI: https://doi.org/10.1007/978-3-540-71789-8_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-71788-1

  • Online ISBN: 978-3-540-71789-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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