Add to ORKGAbstract — The problems of sensor configuration and activation for the detection of correlated random fields using large sensor arrays are considered. Using results that characterize the large-array performance of sensor networks in this application, the detection capabilities of different sensor configurations are analyzed and compared. The dependence of the optimal choice of configuration on parameters such as sensor signal-tonoise ratio (SNR), field correlation, etc., is examined, yielding insights into the most effective choices for sensor selection and activation in various operating regimes. I
© 2013 IEEE. This paper addresses the problem of selecting the most informative sensor locations out...
Abstract — The main functionality of a surveillance wireless sensor network is to detect unauthorize...
In this dissertation we focus on decentralized signal processing in Sensor Networks (SN). Four topic...
The problems of sensor configuration and activation for the detection of correlated random fields us...
The problem of scheduling sensor transmissions for the detection of correlated random fields using s...
The detection of hidden two-dimensional Gauss-Markov random fields us-ing sensor networks is conside...
For a wireless sensor network (WSN) with a random number of sensors, we propose a decision fusion r...
This thesis presents fundamental limits and practical algorithms for multi-sensor systems in 'large-...
International audienceMost statistical inference methods for array processing assume an array of siz...
107 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2004.Distributed sensor systems wi...
Abstract—Using large deviations results that characterize the amount of information per node on a tw...
This dissertation investigates data reduction strategies from a signal processing perspective in cen...
This paper studies the sensor selection problem for random field estimation in wireless sensor netwo...
This paper analyzes an optimal data collection and processing system for detecting a random signal f...
For a wireless sensor network (WSN) with a random number of sensors, we propose a decision fusion ru...
© 2013 IEEE. This paper addresses the problem of selecting the most informative sensor locations out...
Abstract — The main functionality of a surveillance wireless sensor network is to detect unauthorize...
In this dissertation we focus on decentralized signal processing in Sensor Networks (SN). Four topic...
The problems of sensor configuration and activation for the detection of correlated random fields us...
The problem of scheduling sensor transmissions for the detection of correlated random fields using s...
The detection of hidden two-dimensional Gauss-Markov random fields us-ing sensor networks is conside...
For a wireless sensor network (WSN) with a random number of sensors, we propose a decision fusion r...
This thesis presents fundamental limits and practical algorithms for multi-sensor systems in 'large-...
International audienceMost statistical inference methods for array processing assume an array of siz...
107 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2004.Distributed sensor systems wi...
Abstract—Using large deviations results that characterize the amount of information per node on a tw...
This dissertation investigates data reduction strategies from a signal processing perspective in cen...
This paper studies the sensor selection problem for random field estimation in wireless sensor netwo...
This paper analyzes an optimal data collection and processing system for detecting a random signal f...
For a wireless sensor network (WSN) with a random number of sensors, we propose a decision fusion ru...
© 2013 IEEE. This paper addresses the problem of selecting the most informative sensor locations out...
Abstract — The main functionality of a surveillance wireless sensor network is to detect unauthorize...
In this dissertation we focus on decentralized signal processing in Sensor Networks (SN). Four topic...