Data driven performance evaluation of Wireless Sensor Networks.

Autor: Frery AC; Instituto de Computação, LCCV & CPMAT, Universidade Federal de Alagoas, BR 104 Norte km 97, 57072-970 Maceió AL, Brazil. acfrery@pesquisador.cnpq.br, Ramos HS, Alencar-Neto J, Nakamura E, Loureiro AA
Jazyk: angličtina
Zdroj: Sensors (Basel, Switzerland) [Sensors (Basel)] 2010; Vol. 10 (3), pp. 2150-68. Date of Electronic Publication: 2010 Mar 16.
DOI: 10.3390/s100302150
Abstrakt: 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.
Databáze: MEDLINE