Data Driven Performance Evaluation of Wireless Sensor Networks
AbstractWireless 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.
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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.
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.