How to distribute sensors in a random field?
Proceedings of the 3rd international symposium on Information processing in sensor networks
On the optimal distribution of sensors in a random field
ACM Transactions on Sensor Networks (TOSN)
Robustness vs. efficiency in sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Distortion-rate bounds for distributed estimation using wireless sensor networks
EURASIP Journal on Advances in Signal Processing
Successively Structured Gaussian Two-terminal Source Coding
Wireless Personal Communications: An International Journal
On the optimal power-distortion tradeoff in asymmetric Gaussian sensor network
IEEE Transactions on Communications
Optimal rate allocation in successively structured Gaussian CEO problem
IEEE Transactions on Wireless Communications
Source and channel coding for homogeneous sensor networks with partial cooperation
IEEE Transactions on Wireless Communications
The Gaussian many-help-one distributed source coding problem
IEEE Transactions on Information Theory
Selective measurement transmission in distributed estimation with data association
IEEE Transactions on Signal Processing
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We consider a distributed sensor network in which several observations are communicated to the fusion center using limited transmission rate. The observation must be separately encoded so that the target can be estimated with minimum average distortion. We address the problem from an information theoretic perspective and establish the inner and outer bound of the admissible rate-distortion region. We derive an upper bound on the sum-rate distortion function and its corresponding rate allocation schemes by exploiting the contra-polymatroid structure of the achievable rate region. The quadratic Gaussian case is analyzed in detail and the optimal rate allocation schemes in the achievable rate region are characterized. We show that our upper bound on the sum-rate distortion function is tight for the quadratic Gaussian CEO problem in the case of same signal-to-noise ratios at the sensors.