Next century challenges: scalable coordination in sensor networks
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Decentralized Estimation and Control for Multisensor Systems
Decentralized Estimation and Control for Multisensor Systems
Distributed Algorithms
Robust Estimation and Failure Detection: A Concise Treatment
Robust Estimation and Failure Detection: A Concise Treatment
Tracking a moving object with a binary sensor network
Proceedings of the 1st international conference on Embedded networked sensor systems
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Weighted average approach to quantized measurement fusion in wireless sensor network
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Acoustic target tracking using tiny wireless sensor devices
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
Robust information filter for decentralized estimation
Automatica (Journal of IFAC)
Multi-sensor optimal information fusion Kalman filter
Automatica (Journal of IFAC)
The capacity of wireless networks
IEEE Transactions on Information Theory
Distributed Kalman filtering based on consensus strategies
IEEE Journal on Selected Areas in Communications
Distributed EM Algorithm for Gaussian Mixtures in Sensor Networks
IEEE Transactions on Neural Networks
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The distributed or scalable robust filtering problem using average consensus strategy in a sensor network is investigated in this paper. Specifically, based on the information form robust filter, every node estimates the global average information contribution using local and neighbors' information rather than using the information from whole network. Due to the adoption of iterations of robust filter, the proposed algorithm relaxes the necessity to have the prior knowledge of the noise statistics. Moreover, the proposed algorithm is applicable to large-scale sensor network since each node broadcasts message only to its neighboring nodes. A numerical example on the application of the proposed algorithm to track a target moving on noisy circular trajectories is given.