An architectural framework for the support of intelligent vehicular network monitoring: invited paper

Lenis, A; Chatzigiannakis, V; Grammatikou, M; Papavassiliou, S

dc.contributor.author	Lenis, A	en
dc.contributor.author	Chatzigiannakis, V	en
dc.contributor.author	Grammatikou, M	en
dc.contributor.author	Papavassiliou, S	en
dc.date.accessioned	2014-03-01T01:55:46Z
dc.date.available	2014-03-01T01:55:46Z
dc.date.issued	2007	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/27845
dc.subject	Mobile Sensors	en
dc.subject	Modeling and Simulation	en
dc.subject	Principal Component Analysis	en
dc.subject	Road Traffic	en
dc.subject	Security Architecture	en
dc.subject	Vehicular Network	en
dc.subject	Data Fusion	en
dc.subject	Decision Support	en
dc.title	An architectural framework for the support of intelligent vehicular network monitoring: invited paper	en
heal.type	journalArticle	en
heal.identifier.primary	10.1145/1577769.1577771	en
heal.identifier.secondary	http://dx.doi.org/10.1145/1577769.1577771	en
heal.publicationDate	2007	en
heal.abstract	In this paper we propose an efficient, scalable and secure architectural framework for the monitoring of multiple fixed and mobile sensors, designed for road traffic incident detection. The Grid provides the means to control the sensors and gather information with security and reliability. The system includes a Decision Support Service that fuses multi-metric data from heterogeneous sensors to produce a	en
dc.identifier.doi	10.1145/1577769.1577771	en