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Sensors 2010, 10(3), 2150-2168; doi:10.3390/s100302150
Article

Data Driven Performance Evaluation of Wireless Sensor Networks

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Received: 3 February 2010; in revised form: 22 February 2010 / Accepted: 12 March 2010 / Published: 16 March 2010
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Abstract: Wireless Sensor Networks are presented as devices for signal sampling and reconstruction. Within this framework, the qualitative and quantitative influence of (i) signal granularity, (ii) spatial distribution of sensors, (iii) sensors clustering, and (iv) signal reconstruction procedure are assessed. This is done by defining an error metric and performing a Monte Carlo experiment. It is shown that all these factors have significant impact on the quality of the reconstructed signal. The extent of such impact is quantitatively assessed.
Keywords: reconstruction; sampling; statistical modeling; simulation; wireless sensor networks reconstruction; sampling; statistical modeling; simulation; wireless sensor networks
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.

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MDPI and ACS Style

Frery, A.C.; Ramos, H.S.; Alencar-Neto, J.; Nakamura, E.; Loureiro, A.A.F. Data Driven Performance Evaluation of Wireless Sensor Networks. Sensors 2010, 10, 2150-2168.

AMA Style

Frery AC, Ramos HS, Alencar-Neto J, Nakamura E, Loureiro AAF. Data Driven Performance Evaluation of Wireless Sensor Networks. Sensors. 2010; 10(3):2150-2168.

Chicago/Turabian Style

Frery, Alejandro C.; Ramos, Heitor S.; Alencar-Neto, José; Nakamura, Eduardo; Loureiro, Antonio A. F. 2010. "Data Driven Performance Evaluation of Wireless Sensor Networks." Sensors 10, no. 3: 2150-2168.


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