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

Data Driven Performance Evaluation of Wireless Sensor Networks

1,* , 1,2
, 1,3
, 4
 and 2
1 Instituto de Computação, LCCV & CPMAT, Universidade Federal de Alagoas, BR 104 Norte km 97, 57072-970 Maceió AL, Brazil 2 Departamento de Ciência da Computação, Universidade Federal de Minas Gerais – ICEx, Av. Antônio Carlos, 6627, 31270-010 Belo Horizonte, MG, Brazil 3 Justiça Federal de Alagoas, Av. Menino Marcelo, S/N, 57046-000 Maceio, AL, Brazil 4 Fundação Centro de Análise Pesquisa e Inovação Tecnológica (FUCAPI), Av. Governador Danilo Matos Areosa, 381, sala A4, Distrito Industrial, 69075-351 Manaus, AM, Brazil
* Author to whom correspondence should be addressed.
Received: 3 February 2010 / Revised: 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.

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