Discrete-time control systems (2nd ed.)
Discrete-time control systems (2nd ed.)
Distributed Detection and Data Fusion
Distributed Detection and Data Fusion
Calibration as parameter estimation in sensor networks
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Fault Tolerance in Collaborative Sensor Networks for Target Detection
IEEE Transactions on Computers
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
Towards radar-enabled sensor networks
Proceedings of the 5th international conference on Information processing in sensor networks
A control theory approach to throughput optimization in multi-channel collection sensor networks
Proceedings of the 6th international conference on Information processing in sensor networks
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
Data fusion improves the coverage of wireless sensor networks
Proceedings of the 15th annual international conference on Mobile computing and networking
Impact of Data Fusion on Real-Time Detection in Sensor Networks
RTSS '09 Proceedings of the 2009 30th IEEE Real-Time Systems Symposium
Distance based decision fusion in a distributed wireless sensor network
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
IEEE Transactions on Signal Processing
An efficient method for cleaning dirty-events over uncertain data in WSNs
Journal of Computer Science and Technology - Special issue on Natural Language Processing
System-level calibration for data fusion in wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
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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 control-theoretical calibration algorithm can ensure provable system stability and convergence. We also systematically analyze the impacts of communication reliability and delay, and propose an optimal routing algorithm that minimizes the impact of packet loss on system stability. Our approach is evaluated by both experiments on a testbed of Tmotes as well as extensive simulations based on data traces gathered from a real vehicle detection experiment. The results demonstrate that our calibration algorithm enables a network to maintain the optimal detection performance in the presence of various system and environmental dynamics.