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.
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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3267193 | PMC |
| http://dx.doi.org/10.3390/s91209666 | DOI Listing |
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