The future mass deployment of pervasive and dense sensor network infrastructures calls for proper mechanisms to enable extracting general-purpose data from them at limited costs and in a compact way. The approach presented in this paper relies on a simple algorithm to let a sensor network self-organize a virtual partitioning in correspondence of spatial regions characterized by similar sensed patterns, and to let distributed aggregation of sensorial data take place on a per-region basis. This makes it possible to perceive the network as if it were composed of a limited number of virtual macro sensors, a feature which promises to be very suitable for a number of incoming usage scenarios.
Towards Self-organizing Virtual Macro Sensors / Bicocchi, Nicola; Mamei, Marco; Zambonelli, Franco. - STAMPA. - (2007), pp. 355-358. (Intervento presentato al convegno First International Conference on Self-Adaptive and Self-Organizing Systems, SASO 2007 tenutosi a Boston, Massachussets nel July 09-July 11 2007) [10.1109/SASO.2007.63].
Towards Self-organizing Virtual Macro Sensors
BICOCCHI, Nicola;MAMEI, Marco;ZAMBONELLI, Franco
2007
Abstract
The future mass deployment of pervasive and dense sensor network infrastructures calls for proper mechanisms to enable extracting general-purpose data from them at limited costs and in a compact way. The approach presented in this paper relies on a simple algorithm to let a sensor network self-organize a virtual partitioning in correspondence of spatial regions characterized by similar sensed patterns, and to let distributed aggregation of sensorial data take place on a per-region basis. This makes it possible to perceive the network as if it were composed of a limited number of virtual macro sensors, a feature which promises to be very suitable for a number of incoming usage scenarios.
Pubblicazioni consigliate
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris
