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Analysis of Wireless Sensor Networks Deployments Using Vertical Variance Trimming and the Analytic Hierarchy Process

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Author(s): Carlos E. Otero | Ivica Kostanic | Luis D. Otero | Scott L. Meredith | Matthew Whitt

Journal: International Journal of Ad Hoc, Sensor & Ubiquitous Computing
ISSN 0976-2205

Volume: 2;
Issue: 1;
Start page: 169;
Date: 2011;
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Keywords: Wireless Sensor Networks | Stochastic Deployments | Statistical Analysis | Analytical Hierarchy Process

ABSTRACT
Due to reliance on stochastic deployment, delivery of large-scale WSN presents a major problem in theapplication of Wireless Sensor Networks (WSN) technology. When deployed in a stochastic manner, theWSN has the utmost challenge of guaranteeing acceptable operational efficiency upon deployment. Thispaper presents a methodology for stochastic deployment of WSN. The methodology uses simulation,statistical analysis, and the Analytical Hierarchy Process to provide an approach that helps decisionmakersdetermine the best deployment strategies among competing alternatives. The methodology can beused to simplify the decision-making process and provide decision-makers the ability to consider allfactors involved in the WSN deployment problem. The methodology is extensible and can be easilycustomized to include numerous quality factors to further compare deployment strategies and identify theone that best meet applications requirements.
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