Wireless integrated network sensors
Communications of the ACM
On distributed sampling of smooth non-bandlimited fields
Proceedings of the 3rd international symposium on Information processing in sensor networks
Reliability vs. efficiency in distributed source coding for field-gathering sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
Power-bandwidth-distortion scaling laws for sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
Source-channel communication in sensor networks
IPSN'03 Proceedings of the 2nd international conference on Information processing in sensor networks
Type based estimation over multiaccess channels
IEEE Transactions on Signal Processing
The quadratic Gaussian CEO problem
IEEE Transactions on Information Theory
The rate-distortion function for the quadratic Gaussian CEO problem
IEEE Transactions on Information Theory
A little feedback can simplify sensor network cooperation
IEEE Journal on Selected Areas in Communications - Special issue on simple wireless sensor networking solutions
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In some remote sensing applications, the functional relationship between the source being observed and the sensor readings may not be known. Because of communication constraints, this uncertainty may result in poor end-to-end distortion. If the sensors have some knowledge of their joint statistics, they may be able to communicate collaboratively to combat the channel noise. A model is proposed for capturing some of the uncertainty in the observation process, called a fading observation model. An example with fading observations is analysed. For M sensors with no fading there exists a scheme for which the achievable distortion scales with M as M-1, but with fading the distortion does not scale with M. In this paper, a one-bit feedback scheme is presented that provides enough information about the joint statistics to achieve scaling rates like M-1/3. Additional feedback improves the achievable scaling rate. For comparison, a scheme based on separate source and channel coding at best gives a distortion scaling behaviour of (log M)-1. Some extensions to multiple sources and observation models with unknown delay are discussed.