Prediction Accuracy of Link-Quality Estimators

• Published in: Wireless Sensor Networks pp. 1 - 16
• Main Authors: Renner, Christian, Ernst, Sebastian, Weyer, Christoph, Turau, Volker
• Format: Book Chapter
• Language: English
• Published: Berlin, Heidelberg Springer Berlin Heidelberg 2011
• Series: Lecture Notes in Computer Science
• Subjects: Exponentially Weighted Move Average; Link Quality; Packet Loss; Receive Signal Strength Indication; Wireless Sensor Network
• ISBN: 9783642191855; 3642191851
• ISSN: 0302-9743; 1611-3349
• DOI: 10.1007/978-3-642-19186-2_1

The accuracy of link-quality estimators (LQE) is mission-critical 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.