An architectural framework for the support of intelligent vehicular network monitoring

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	2014-03-01T02:51:02Z
dc.date.available	2014-03-01T02:51:02Z
dc.date.issued	2007	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35315
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-70450239471&partnerID=40&md5=d1f686cc3c58bb72faaf7a24ae26afed	en
dc.subject	Data fusion	en
dc.subject	Incident detection	en
dc.subject	Sensor grids	en
dc.subject	Vehicular network monitoring	en
dc.subject.other	Architectural frameworks	en
dc.subject.other	Combined effect	en
dc.subject.other	Decision supports	en
dc.subject.other	Fusion algorithms	en
dc.subject.other	Heterogeneous sensors	en
dc.subject.other	Incident detection	en
dc.subject.other	Mobile sensors	en
dc.subject.other	Modeling and simulation	en
dc.subject.other	Observed data	en
dc.subject.other	Operational effectiveness	en
dc.subject.other	Road traffic incidents	en
dc.subject.other	Sensor grids	en
dc.subject.other	Vehicular networks	en
dc.subject.other	Computer simulation	en
dc.subject.other	Decision support systems	en
dc.subject.other	Highway traffic control	en
dc.subject.other	Information fusion	en
dc.subject.other	Intelligent vehicle highway systems	en
dc.subject.other	Principal component analysis	en
dc.subject.other	Sensor networks	en
dc.subject.other	Sensors	en
dc.subject.other	Vehicle locating systems	en
dc.subject.other	Wireless networks	en
dc.subject.other	Sensor data fusion	en
dc.title	An architectural framework for the support of intelligent vehicular network monitoring	en
heal.type	conferenceItem	en
heal.identifier.secondary	2	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 global and comprehensive view of the vehicular network state. The adopted fusion algorithm is based on the application of Principal Component Analysis on multi-metric data, and provides an efficient way of taking into account the combined effect of the correlated observed data, for incident detection purposes. Finally, the performance and operational effectiveness of the proposed approach and system is evaluated via modeling and simulation. Copyright 2007 ACM.	en
heal.journalName	1st International Workshop on Wireless Networking for Intelligent Transportation Systems, WINITS '07	en