Data Centric Sensor Stream Reduction for Real-Time Applications in Wireless Sensor Networks

Abstract

This work presents a data-centric strategy to meet deadlines in soft real-time applications in wireless sensor networks. This strategy considers three main aspects: (i) The design of real-time application to obtain the minimum deadlines; (ii) An analytic model to estimate the ideal sample size used by data-reduction algorithms; and (iii) Two data-centric stream-based sampling algorithms to perform data reduction whenever necessary. Simulation results show that our data-centric strategies meet deadlines without loosing data representativeness.

DOI: 10.3390/s91209666

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Cite this paper

@inproceedings{Aquino2009DataCS, title={Data Centric Sensor Stream Reduction for Real-Time Applications in Wireless Sensor Networks}, author={Andr{\'e} L. L. de Aquino and Eduardo Freire Nakamura}, booktitle={Sensors}, year={2009} }