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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
Computer Science Department, Federal University of Ouro Preto, Ouro Preto, MG, Brazil
2
FUCAPI – Analysis, Research and Technological Innovation Center, Manaus, AM, Brazil
* Author to whom correspondence should be addressed.
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)
Download PDF Full-Text [852 KB, uploaded 2 December 2009 16:11 CET]
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 StyleAquino ALL, Nakamura EF. Data Centric Sensor Stream Reduction for Real-Time Applications in Wireless Sensor Networks. Sensors. 2009; 9(12):9666-9688.
Chicago/Turabian StyleAquino, 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.