Adaptive Calibration for Fusion-based Wireless Sensor Networks

Abstract—Wireless sensor networks (WSNs) are typically composed of low-cost sensors that are deeply integrated with physical environments. As a result, the sensing performance of a WSN is inevitably undermined by various physical uncertainties, which include stochastic sensor noises, unpredictable environment changes and dynamics of the monitored phenomenon. Traditional solutions (e.g., sensor calibration and collaborative signal processing) work in an open-loop fashion and hence fail to adapt to these uncertainties after system deployment. In this paper, we propose an adaptive system-level calibration approach for a class of sensor networks that employ data fusion to improve system sensing performance. Our approach features a feedback control loop that exploits sensor heterogeneity to deal with the aforementioned uncertainties in calibrating system performance. In contrast to existing heuristic based solutions, our controltheoretical calibration algorithm can ensure provable system ...

• Type: Journal
• Year: 2010
• Where: INFOCOM
• Authors: Rui Tan, Guoliang Xing, Xue Liu, Jianguo Yao, Zhaohui Yuan
• Keywords: Calibration, Communications, INFOCOM 2010, Sensor, Sensor Networks