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MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
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Calibration as parameter estimation in sensor networks
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Pervasive '02 Proceedings of the First International Conference on Pervasive Computing
Nonparametric belief propagation for self-calibration in sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
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Proceedings of the 5th international conference on Information processing in sensor networks
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Proceedings of the 4th international conference on Embedded networked sensor systems
Proceedings of the 4th international conference on Embedded networked sensor systems
WICON '06 Proceedings of the 2nd annual international workshop on Wireless internet
Blind calibration of sensor networks
Proceedings of the 6th international conference on Information processing in sensor networks
IEEE Pervasive Computing
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IEEE Transactions on Mobile Computing
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Proceedings of the 5th international conference on Embedded networked sensor systems
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IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
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Proceedings of the 11th international conference on Information Processing in Sensor Networks
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EWSN'12 Proceedings of the 9th European conference on Wireless Sensor Networks
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ACM Computing Surveys (CSUR)
On the complexity of energy efficient pairwise calibration in embedded sensors
Applied Soft Computing
System-level calibration for data fusion in wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
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We propose CaliBree, a self-calibration system for mobile wireless sensor networks. Sensors calibration is a fundamental problem in a sensor network. If sensor devices are not properly calibrated, their sensor readings are likely of little use to the application. Distributed calibration is challenging in a mobile sensor network, where sensor devices are carried by people or vehicles, mainly for three reasons: i)the sensing contact time, i.e., the amount of time nodes are within the sensing range of each other, can be very limited, requiring a quick and efficient calibration technique; ii)for scalability and ease of use, the calibration algorithm should not require manual intervention; iii)the computational burden must be low since some sensor platforms have limited capabilities. In this paper we propose CaliBree, a distributed, scalable, and lightweight calibration protocol that applies a discrete average consensus algorithm technique to calibrate sensor nodes. CaliBree is shown to be effective through experimental evaluation using embedded wireless sensor devices, achieving high calibration accuracy.