Minimum energy decentralized estimation in a wireless sensor network with correlated sensor noises
EURASIP Journal on Wireless Communications and Networking
Energy-constrained optimal quantization for wireless sensor networks
EURASIP Journal on Advances in Signal Processing
Distributed field estimation with randomly deployed, noisy, binary sensors
IEEE Transactions on Signal Processing
Network lifetime maximization for estimation in multihop wireless sensor networks
IEEE Transactions on Signal Processing
Outage scaling laws and diversity for distributed estimation over parallel fading channels
IEEE Transactions on Signal Processing
Power constrained distributed estimation with correlated sensor data
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
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
Field estimation from randomly located binary noisy sensors
IEEE Transactions on Information Theory
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
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
Robust maximum likelihood acoustic source localization in wireless sensor networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
State estimation with quantized measurements in wireless sensor networks
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
State estimation with quantized measurements in wireless sensor networks
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
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
IEEE Transactions on Information Theory
Distributed node selection for sequential estimation over noisy communication channels
IEEE Transactions on Wireless Communications
Error resilient distributed estimation in wireless sensor networks
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Distributed estimation in sensor networks over binary symmetric channels
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
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
Sequential estimation over noisy channels with distributed node selection
MILCOM'09 Proceedings of the 28th IEEE conference on Military communications
Nonparametric one-bit quantizers for distributed estimation
IEEE Transactions on Signal Processing
Universal distributed estimation over multiple access channels with constant modulus signaling
IEEE Transactions on Signal Processing
Energy-efficient cluster-based distributed estimation in wireless sensor networks
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Brief paper: An efficient sensor quantization algorithm for decentralized estimation fusion
Automatica (Journal of IFAC)
Networked strong tracking filters with noise correlations and bits quantization
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part II
Quantization, channel compensation, and optimal energy allocation for estimation in sensor networks
ACM Transactions on Sensor Networks (TOSN)
ACM Transactions on Sensor Networks (TOSN)
Hi-index | 755.05 |
Consider a situation where a set of distributed sensors and a fusion center wish to cooperate to estimate an unknown parameter over a bounded interval [-U,U]. Each sensor collects one noise-corrupted sample, performs a local estimation, and transmits a message to the fusion center, while the latter combines the received messages to produce a final estimate. This correspondence investigates optimal local estimation and final fusion schemes under the constraint that the communication from each sensor to the fusion center must be a one-bit message. Such a binary message constraint is well motivated by the bandwidth limitation of the communication links, fusion center, and by the limited power budget of local sensors. In the absence of bandwidth constraint and assuming the noises are bounded to the interval [-U,U], additive, independent, but otherwise unknown, the classical estimation theory suggests that a total of O(U2/epsi2) sensors are necessary and sufficient in order for the sensors and the fusion center to jointly estimate the unknown parameter within epsi root mean squared error (MSE). It is shown in this correspondence that the same remains true even with the binary message constraint. Furthermore, the optimal decentralized estimation scheme suggests allocating 1/2 of the sensors to estimate the first bit of the unknown parameter, 1/4 of the sensors to estimate the second bit, and so on