title: Data driven performance evaluation of Wireless Sensor Networks.
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.
authors.affiliation: Instituto de Computação, LCCV & CPMAT, Universidade Federal de Alagoas, BR 104 Norte km 97, 57072-970 Maceió AL, Brazil. acfrery@pesquisador.cnpq.br
authors.forename: Alejandro C
authors.initials: AC
authors.lastname: Frery
authors.forename: Heitor S
authors.initials: HS
authors.lastname: Ramos
authors.forename: José
authors.initials: J
authors.lastname: Alencar-Neto
authors.forename: Eduardo
authors.initials: E
authors.lastname: Nakamura
authors.forename: Antonio A F
authors.initials: AA
authors.lastname: Loureiro
mesh_terms: D003195:Computer Communication Networks; D003198:Computer Simulation; D004867:Equipment Design; D015233:Models, Statistical; D009010:Monte Carlo Method; D058998:Remote Sensing Technology