Matrix analysis
A fully decentralized multi-sensor system for tracking and surveillance
International Journal of Robotics Research
Directed diffusion: a scalable and robust communication paradigm for sensor networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Distributed source localization and tracking algorithms for ad-hoc acoustic sensor networks
Distributed source localization and tracking algorithms for ad-hoc acoustic sensor networks
IEEE Communications Magazine
Pattern recognition via synchronization in phase-locked loop neural networks
IEEE Transactions on Neural Networks
Decentralized compression and predistribution via randomized gossiping
Proceedings of the 5th international conference on Information processing in sensor networks
Random distributed multiresolution representations with significance querying
Proceedings of the 5th international conference on Information processing in sensor networks
A space-time diffusion scheme for peer-to-peer least-squares estimation
Proceedings of the 5th international conference on Information processing in sensor networks
A scheme for robust distributed sensor fusion based on average consensus
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
IEEE Transactions on Parallel and Distributed Systems
Distributed average consensus with least-mean-square deviation
Journal of Parallel and Distributed Computing
Accelerated distributed average consensus via localized node state prediction
IEEE Transactions on Signal Processing
Distributed Faulty Sensor Detection in Sensor Networks
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
Diffusion LMS strategies for distributed estimation
IEEE Transactions on Signal Processing
Adaptive filter algorithms for accelerated discrete-time consensus
IEEE Transactions on Signal Processing
Optimization and analysis of distributed averaging with memory
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
Optimization and analysis of distributed averaging with short node memory
IEEE Transactions on Signal Processing
Mean square convergence of consensus algorithms in random WSNs
IEEE Transactions on Signal Processing
IEEE Transactions on Information Theory
Diffusion least-mean squares with adaptive combiners: formulation and performance analysis
IEEE Transactions on Signal Processing
Fault-Tolerant aggregation: flow-updating meets mass-distribution
OPODIS'11 Proceedings of the 15th international conference on Principles of Distributed Systems
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In this paper we develop algorithms for distributed computation of a broad range of estimation and detection tasks over networks with arbitrary but fixed connectivity. The distributed algorithms we develop are linear dynamical systems that generate sequences of approximations to the desired computation. The algorithms are locally constructed at each node by exploiting only locally available and macro-scopic information about the network topology. We present methods for designing these distributed algorithms so as to optimize the convergence rates to the desired computation and demonstrate their performance characteristics in the context of a problem of signal estimation from multi-node signal observations in Gaussian noise.