Robust regression and outlier detection
Robust regression and outlier detection
Distributed Detection and Data Fusion
Distributed Detection and Data Fusion
Adaptive Control
Calibration as parameter estimation in sensor networks
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Taming the underlying challenges of reliable multihop routing in sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Fault Tolerance in Collaborative Sensor Networks for Target Detection
IEEE Transactions on Computers
Nonparametric belief propagation for self-calibration in sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
Energy-efficient surveillance system using wireless sensor networks
Proceedings of the 2nd international conference on Mobile systems, applications, and services
Vehicle classification in distributed sensor networks
Journal of Parallel and Distributed Computing
Lightweight detection and classification for wireless sensor networks in realistic environments
Proceedings of the 3rd international conference on Embedded networked sensor systems
Blind calibration of sensor networks
Proceedings of the 6th international conference on Information processing in sensor networks
A Weighted Moving Average-based Approach for Cleaning Sensor Data
ICDCS '07 Proceedings of the 27th International Conference on Distributed Computing Systems
Energy-based collaborative source localization using acoustic microsensor array
EURASIP Journal on Applied Signal Processing
Exploring in-situ sensing irregularity in wireless sensor networks
Proceedings of the 5th international conference on Embedded networked sensor systems
CaliBree: A Self-calibration System for Mobile Sensor Networks
DCOSS '08 Proceedings of the 4th IEEE international conference on Distributed Computing in Sensor Systems
Sensor network data fault types
ACM Transactions on Sensor Networks (TOSN)
A collaborative approach to in-place sensor calibration
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
Adaptive calibration for fusion-based wireless sensor networks
INFOCOM'10 Proceedings of the 29th conference on Information communications
IEEE Transactions on Signal Processing
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Wireless sensor networks are typically composed of low-cost sensors that are deeply integrated in physical environments. As a result, the sensing performance of a wireless sensor network is inevitably undermined by biases in imperfect sensor hardware and the noises in data measurements. Although a variety of calibration methods have been proposed to address these issues, they often adopt the device-level approach that becomes intractable for moderate-to large-scale networks. In this article, we propose a two-tier system-level calibration approach for a class of sensor networks that employ data fusion to improve the sensing performance. In the first tier of our calibration approach, each sensor learns its local sensing model from noisy measurements using an online algorithm and only transmits a few model parameters. In the second tier, sensors' local sensing models are then calibrated to a common system sensing model. Our approach fairly distributes computation overhead among sensors and significantly reduces the communication overhead of calibration compared with the device-level approach. Based on this approach, we develop an optimal model calibration scheme that maximizes the target detection probability of a sensor network under bounded false alarm rate. Our approach is evaluated by both experiments on a testbed of TelosB motes and extensive simulations based on synthetic datasets as well as data traces collected in a real vehicle detection experiment. The results demonstrate that our system-level calibration approach can significantly boost the detection performance of sensor networks in scenarios with low signal-to-noise ratios.