On Rate-Constrained Estimation in Unreliable Sensor Networks
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Summary
The proposed distributed encoding and estimation framework has the following interesting optimality property: when any k out of n rate-R bits/sec sensor transmissions are received, the central unit's estimation quality matches the best estimation quality that can be achieved from a completely reliable network of k sensors, each transmitting at rate R.
- Type
- article
- Published
- 2003-04-22
- Cited by
- 14
- References
- 12
- OpenAlex
- https://openalex.org/W2685190889
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:15279245
Keywords
Wireless sensor network, Metric (unit), Computer science, Distortion (music), Real-time computing
References
- Information Theory: 1948-1998 - Guest Editorial
- n-channel symmetric multiple descriptions - part I: (n, k) source-channel erasure codes
- Source encoding in the presence of random disturbance
- An Introduction to Signal Detection and Estimation
- Information Theory and Reliable Communication
- The Rate-Distortion Function for the Quadratic Gaussian CEO Problem
- Noiseless coding of correlated information sources
- Distributed source coding using syndromes (DISCUS): design and construction
- To code, or not to code: lossy source-channel communication revisited
- Distributed source coding: symmetric rates and applications to sensor networks
- The rate-distortion function for source coding with side information at the decoder
Cited by
- Reliable and energy efficient algorithms for sensor networks used in flood protection
- An energy-efficient adaptive DSC scheme for wireless sensor networks
- Energy Efficient Transmission Protocol for Distributed Source Coding in Sensor Networks
- Deployment of an unreliable robotic sensor network for spatial estimation
- Optimized Data Fusion in Bandwidth and Energy Constrained Sensor Networks
- Adaptive remote signal coding and recovery in wireless sensor networks
- Distributed Bayesian hypothesis testing in sensor networks
- Performance guarantees in sensor networks
- Scalable decoding on factor trees: a practical solution for wireless sensor networks
- Reliability vs. efficiency in distributed source coding for field-gathering sensor networks
- Asymptotic quantization and applications to sensor networks.
- Collaborative Signal Processing in Distributed Wireless Sensor Networks
- In-Network Decision Making Via Local Message-Passing
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