First International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2007) Towards Self-organizing Virtual Macro Sensors Cambridge, Massachussets July 09-July 11 ISBN: 0-7695-2906-2
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SASO.2007.63
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.
Citation:
Nicola Bicocchi, Marco Mamei, Franco Zambonelli, "Towards Self-organizing Virtual Macro Sensors," saso, pp.355-358, First International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2007), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||