Data Driven Performance Evaluation of Wireless Sensor Networks

被引：12

作者：

Frery, Alejandro C. ^{[1
,2
]}

Ramos, Heitor S. ^{[1
,2
,3
]}

Alencar-Neto, Jose ^{[1
,2
,4
]}

Nakamura, Eduardo ^{[5
]}

Loureiro, Antonio A. F. ^{[3
]}

机构：

[1] Univ Fed Alagoas, Inst Computacao, LCCV, BR-57072970 Maceio, AL, Brazil

[2] Univ Fed Alagoas, CPMAT, BR-57072970 Maceio, AL, Brazil

[3] Univ Fed Minas Gerais ICEx, Dept Ciencia Computacao, BR-31270010 Belo Horizonte, MG, Brazil

[4] Just Fed Alagoas, BR-57046000 Maceio, AL, Brazil

[5] FUCAPI, BR-69075351 Manaus, Amazonas, Brazil

来源：

SENSORS | 2010年 / 10卷 / 03期

关键词：

reconstruction; sampling; statistical modeling; simulation; wireless sensor networks; RECONSTRUCTION;

D O I：

10.3390/s100302150

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

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.

引用

页码：2150 / 2168

页数：19

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