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Empirical Models for Predicting Radio Link Quality in Outdoor Deployment Environments

Authors:
Sally Wahba
Jason Hallstrom

Keywords: Radio link quality modeling; wireless sensor networks; embedded network systems; radio link quality prediction.

Abstract:
In this paper, we present two environment-specific models for predicting radio link quality in embedded wireless systems as a function of radio transmission power and inter-node distance. The models are empirically-based and developed using regression analysis. The underlying data was collected from over 1400 experiments conducted in open grass fields and dense forest environments using Tmote Sky nodes. We focus on this hardware platform due to its popularity in the domain of wireless sensing. Our models predict radio link quality in typical outdoor deployment environments, and achieve a goodness of fit of over 0.83.

Pages: 196 to 202

Copyright: Copyright (c) IARIA, 2012

Publication date: August 19, 2012

Published in: conference

ISSN: 2308-4405

ISBN: 978-1-61208-207-3

Location: Rome, Italy

Dates: from August 19, 2012 to August 24, 2012