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Sensors 2010, 10(3), 2150-2168;

Data Driven Performance Evaluation of Wireless Sensor Networks

Instituto de Computação, LCCV & CPMAT, Universidade Federal de Alagoas, BR 104 Norte km 97, 57072-970 Maceió AL, Brazil
Departamento de Ciência da Computação, Universidade Federal de Minas Gerais – ICEx, Av. Antônio Carlos, 6627, 31270-010 Belo Horizonte, MG, Brazil
Justiça Federal de Alagoas, Av. Menino Marcelo, S/N, 57046-000 Maceio, AL, Brazil
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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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. View Full-Text
Keywords: reconstruction; sampling; statistical modeling; simulation; wireless sensor networks reconstruction; sampling; statistical modeling; simulation; wireless sensor networks

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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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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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