Disaster area scenarios are the consequence of sudden and unexpected disasters due to either human or natural causes, such as terrorist attacks and earthquakes. Towards the main goal of saving as many human lives as possible, context-aware services are emerging as standard-de-facto solutions to improve the coordination of involved rescue teams. Unfortunately, the scarce resources (communication bandwidth, memory, etc.) lead to very tough deployment scenarios to deal with. This paper presents our real-world quality-based context data distribution infrastructure for context-aware services in disaster areas. The main contribution is a quality-based caching solution that self-adapts by using quality requirements associated to close neighbors. Collected experimental results confirm that our proposal improves both system scalability and data availability.
QoC-based Context Data Caching for Disaster Area Scenarios / Boukerche A.; Corradi A.; Fanelli M.; Foschini L.. - STAMPA. - (2011), pp. 1-5. (Intervento presentato al convegno IEEE International Conference on Communications (ICC'11) tenutosi a Kyoto, Japan nel June 5-9, 2011) [10.1109/icc.2011.5963361].
QoC-based Context Data Caching for Disaster Area Scenarios
CORRADI, ANTONIO;FANELLI, MARIO;FOSCHINI, LUCA
2011
Abstract
Disaster area scenarios are the consequence of sudden and unexpected disasters due to either human or natural causes, such as terrorist attacks and earthquakes. Towards the main goal of saving as many human lives as possible, context-aware services are emerging as standard-de-facto solutions to improve the coordination of involved rescue teams. Unfortunately, the scarce resources (communication bandwidth, memory, etc.) lead to very tough deployment scenarios to deal with. This paper presents our real-world quality-based context data distribution infrastructure for context-aware services in disaster areas. The main contribution is a quality-based caching solution that self-adapts by using quality requirements associated to close neighbors. Collected experimental results confirm that our proposal improves both system scalability and data availability.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
