Data Driven Performance Evaluation of Wireless Sensor Networks

Author: Frery Alejandro C.   Ramos Heitor S.   Alencar-Neto José   Nakamura Eduardo   Loureiro Antonio A. F.  

Publisher: MDPI

E-ISSN: 1424-8220|10|3|2150-2168

ISSN: 1424-8220

Source: Sensors, Vol.10, Iss.3, 2010-03, pp. : 2150-2168

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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.