Sensors 2009, 9(12), 9666-9688; doi:10.3390/s91209666
Article

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

1,* email and 2email
Received: 13 October 2009; in revised form: 9 November 2009 / Accepted: 13 November 2009 / Published: 2 December 2009
(This article belongs to the Special Issue Sensor Algorithms)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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.
Keywords: sensor-stream reduction algorithms; wireless sensor network; data-centric routing algorithm
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MDPI and ACS Style

Aquino, A.L.L.; Nakamura, E.F. Data Centric Sensor Stream Reduction for Real-Time Applications in Wireless Sensor Networks. Sensors 2009, 9, 9666-9688.

AMA Style

Aquino ALL, Nakamura EF. Data Centric Sensor Stream Reduction for Real-Time Applications in Wireless Sensor Networks. Sensors. 2009; 9(12):9666-9688.

Chicago/Turabian Style

Aquino, Andre Luiz Lins; Nakamura, Eduardo Freire. 2009. "Data Centric Sensor Stream Reduction for Real-Time Applications in Wireless Sensor Networks." Sensors 9, no. 12: 9666-9688.

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