Network lifetime maximization for estimation in multihop wireless sensor networks
IEEE Transactions on Signal Processing
Distributed estimation in energy-constrained wireless sensor networks
IEEE Transactions on Signal Processing
Energy planning for progressive estimation in multihop sensor networks
IEEE Transactions on Signal Processing
IEEE Transactions on Circuits and Systems Part I: Regular Papers
WONS'09 Proceedings of the Sixth international conference on Wireless On-Demand Network Systems and Services
Optimal rate allocation for multi-sensor distributed estimation
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
Quantization, channel compensation, and energy allocation for estimation in wireless sensor networks
WiOPT'09 Proceedings of the 7th international conference on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks
Hyperplane-based vector quantization for distributed estimation in wireless sensor networks
IEEE Transactions on Information Theory
A collaborative sensor-fault detection scheme for robust distributed estimation in sensor networks
IEEE Transactions on Communications
Estimation over fading channels with limited feedback using distributed sensing
IEEE Transactions on Signal Processing
Performance limit for distributed estimation systems with identical one-bit quantizers
IEEE Transactions on Signal Processing
Distributed estimation over fading MACs with multiple antennas at the fusion center
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Brief paper: Min-max optimal data encoding and fusion in sensor networks
Automatica (Journal of IFAC)
A repeated significance test with applications to sequential detection in sensor networks
IEEE Transactions on Signal Processing
Nonparametric one-bit quantizers for distributed estimation
IEEE Transactions on Signal Processing
Brief paper: An efficient sensor quantization algorithm for decentralized estimation fusion
Automatica (Journal of IFAC)
Distributed iterative quantization for interference characterization in wireless networks
Digital Signal Processing
Quantization, channel compensation, and optimal energy allocation for estimation in sensor networks
ACM Transactions on Sensor Networks (TOSN)
Hi-index | 35.77 |
Wireless sensor networks (WSNs) deployed to perform surveillance and monitoring tasks have to operate under stringent energy and bandwidth limitations. These motivate well distributed estimation scenarios where sensors quantize and transmit only one, or a few bits per observation, for use in forming parameter estimators of interest. In a companion paper, we developed algorithms and studied interesting tradeoffs that emerge even in the simplest distributed setup of estimating a scalar location parameter in the presence of zero-mean additive white Gaussian noise of known variance. Herein, we derive distributed estimators based on binary observations along with their fundamental error-variance limits for more pragmatic signal models: i) known univariate but generally non-Gaussian noise probability density functions (pdfs); ii) known noise pdfs with a finite number of unknown parameters; iii) completely unknown noise pdfs; and iv) practical generalizations to multivariate and possibly correlated pdfs. Estimators utilizing either independent or colored binary observations are developed and analyzed. Corroborating simulations present comparisons with the clairvoyant sample-mean estimator based on unquantized sensor observations, and include a motivating application entailing distributed parameter estimation where a WSN is used for habitat monitoring