The emerging industrial relevance of vehicular sensor networks pushes towards their adoption for large-scale applications, from traffic routing and relief to environmental monitoring and distributed surveillance. With homeland security issues in mind, we have developed MobEyes, a fully distrib-uted opportunistic harvesting system for urban monitoring. In MobEyes, regular vehicles equipped with sensors collect and locally store monitoring data while moving on the streets. Sensors may gen-erate a sheer data amount, especially in the case of audio/video recording, thus making traditional reporting unfeasible. MobEyes originally adopts the guidelines of locally generating summaries of sensed data and of taking advantage of vehicle mobility and opportunistic one-hop communica-tions to pump summaries towards mobile collec-tors, with minimal overhead, reasonable complete-ness, and limited latency. To that purpose, it care-fully considers standard specifications to portably integrate with heterogeneous sensors, in particular by exploiting the Java Media Framework to inter-work with cameras, the JSR179 Location API to interface with heterogeneous localization systems, and the Java Communications API to access lower-layer environmental sensors.

P. Bellavista, M. Gerla, U. Lee, E. Magistretti (2007). Standard Integration of Sensing and Opportunistic Diffusion for Vehicular Sensor Networks Urban Monitoring: the MobEyes Architecture. NEW YORK : IEEE Press.

Standard Integration of Sensing and Opportunistic Diffusion for Vehicular Sensor Networks Urban Monitoring: the MobEyes Architecture

BELLAVISTA, PAOLO;MAGISTRETTI, EUGENIO
2007

Abstract

The emerging industrial relevance of vehicular sensor networks pushes towards their adoption for large-scale applications, from traffic routing and relief to environmental monitoring and distributed surveillance. With homeland security issues in mind, we have developed MobEyes, a fully distrib-uted opportunistic harvesting system for urban monitoring. In MobEyes, regular vehicles equipped with sensors collect and locally store monitoring data while moving on the streets. Sensors may gen-erate a sheer data amount, especially in the case of audio/video recording, thus making traditional reporting unfeasible. MobEyes originally adopts the guidelines of locally generating summaries of sensed data and of taking advantage of vehicle mobility and opportunistic one-hop communica-tions to pump summaries towards mobile collec-tors, with minimal overhead, reasonable complete-ness, and limited latency. To that purpose, it care-fully considers standard specifications to portably integrate with heterogeneous sensors, in particular by exploiting the Java Media Framework to inter-work with cameras, the JSR179 Location API to interface with heterogeneous localization systems, and the Java Communications API to access lower-layer environmental sensors.
2007
Proceedings of the IEEE International Symposium on Industrial Electronics (ISIE’07)
120
126
P. Bellavista, M. Gerla, U. Lee, E. Magistretti (2007). Standard Integration of Sensing and Opportunistic Diffusion for Vehicular Sensor Networks Urban Monitoring: the MobEyes Architecture. NEW YORK : IEEE Press.
P. Bellavista; M. Gerla; U. Lee; E. Magistretti
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/46966
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