Prediction accuracy of link-quality estimators

Authors:
Christian Renner;Sebastian Ernst;Christoph Weyer;Volker Turau
Affiliations:
Hamburg University of Technology, Hamburg, Germany;Hamburg University of Technology, Hamburg, Germany;Hamburg University of Technology, Hamburg, Germany;Hamburg University of Technology, Hamburg, Germany
Venue:
EWSN'11 Proceedings of the 8th European conference on Wireless sensor networks
Year:
2011

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Abstract

The accuracy of link-quality estimators (LQE) is missioncritical in many application scenarios in wireless sensor networks (WSN), since the link-quality metric is used for routing decisions or neighborhood formation. Link-quality estimation must offer validity for different timescales. Existing LQEs describe and approximate the current quality in a single value only. This method leads to a limited accuracy and expressiveness about the presumed future behavior of a link. The LQE developed in this paper incorporates four quality metrics that give a holistic assessment of the link and its dynamic behavior; therefore, this research is an important step to achieving a higher prediction accuracy including knowledge about the short- and long-term behavior.