Applied numerical linear algebra
Applied numerical linear algebra
Laplacian Eigenmaps for dimensionality reduction and data representation
Neural Computation
IEEE Transactions on Computers
IEEE/ACM Transactions on Networking (TON) - Special issue on networking and information theory
Robust Distributed Estimation Using the Embedded Subgraphs Algorithm
IEEE Transactions on Signal Processing
Distributed Estimation and Detection for Sensor Networks Using Hidden Markov Random Field Models
IEEE Transactions on Signal Processing
Bandwidth-constrained distributed estimation for wireless sensor Networks-part I: Gaussian case
IEEE Transactions on Signal Processing
Embedded trees: estimation of Gaussian Processes on graphs with cycles
IEEE Transactions on Signal Processing
IEEE Communications Magazine
Distributed computation of averages over ad hoc networks
IEEE Journal on Selected Areas in Communications
Self-stabilizing Numerical Iterative Computation
SSS '08 Proceedings of the 10th International Symposium on Stabilization, Safety, and Security of Distributed Systems
MWM: a map-based world model for wireless sensor networks
Autonomics '08 Proceedings of the 2nd International Conference on Autonomic Computing and Communication Systems
Decentralized sparse signal recovery for compressive sleeping wireless sensor networks
IEEE Transactions on Signal Processing
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We propose a graph-based method for distributed event-region detection in a wireless sensor network (WSN). The proposed method is developed by exploiting the fact that the true events at geographically neighboring sensors have a statistical dependency in an event-region detection scenario. This spatial dependence amongst the sensors is modeled using graphical models (GMs) and serves as a regularization term to enhance the detection accuracy. The method involves solving a linear system of equations, which can be readily implemented in a distributed fashion. Numerical results are presented to illustrate the performance of our proposed approach.