An efficient sensor network architecture using open platform in vehicle environment
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Yim, Hong Bin | - |
dc.contributor.author | Park, Pyung Sun | - |
dc.contributor.author | Moon, Hee-Seok | - |
dc.contributor.author | Jung, Jaeil | - |
dc.date.accessioned | 2022-12-21T05:09:05Z | - |
dc.date.available | 2022-12-21T05:09:05Z | - |
dc.date.created | 2022-09-16 | - |
dc.date.issued | 2007-12 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/179216 | - |
dc.description.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. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Springer Verlag | - |
dc.title | An efficient sensor network architecture using open platform in vehicle environment | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Jung, Jaeil | - |
dc.identifier.doi | 10.1007/978-3-540-71789-8_24 | - |
dc.identifier.scopusid | 2-s2.0-38049113102 | - |
dc.identifier.bibliographicCitation | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v.4412 LNCS, pp.232 - 241 | - |
dc.relation.isPartOf | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | - |
dc.citation.title | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | - |
dc.citation.volume | 4412 LNCS | - |
dc.citation.startPage | 232 | - |
dc.citation.endPage | 241 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Intelligent vehicle highway systems | - |
dc.subject.keywordPlus | Message passing | - |
dc.subject.keywordPlus | Network security | - |
dc.subject.keywordPlus | Optimization | - |
dc.subject.keywordPlus | Wireless sensor networks | - |
dc.subject.keywordPlus | Controller Area Networks (CAN) | - |
dc.subject.keywordPlus | Intelligent Transport Systems | - |
dc.subject.keywordPlus | Smart Car Sensor Networks (SCSN) | - |
dc.subject.keywordPlus | Network architecture | - |
dc.subject.keywordAuthor | ITS | - |
dc.subject.keywordAuthor | SCSN(Smart Car Sensor Network) | - |
dc.subject.keywordAuthor | Sensor clustering node | - |
dc.subject.keywordAuthor | Sensor network | - |
dc.subject.keywordAuthor | Sensor network gateway | - |
dc.subject.keywordAuthor | Telematics | - |
dc.identifier.url | https://link.springer.com/chapter/10.1007/978-3-540-71789-8_24 | - |
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