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## Matched source-channel communication for field estimation in wireless sensor networks (2005)

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- [www.ece.wisc.edu]
- [nowak.ece.wisc.edu]
- [www.rci.rutgers.edu]
- [dune.ece.wisc.edu]
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### Other Repositories/Bibliography

Venue: | Proc. the Fouth Int. Symposium on Information Processing in Sensor Networks |

Citations: | 40 - 11 self |

### Citations

12413 |
Elements of Information Theory
- Cover, Thomas
- 2006
(Show Context)
Citation Context ...ance σ 2 s and the measurement noise is assumed to be Gaussian then the lowest bit rate needed to encode ˆsj with a target distortion Dcoded < σ 2 s + σ 2 w/k is given by the rate-distortion function =-=[14]-=- Ro(Dcoded) = 1 2 log¨σ 2 s + σ 2 w/k bits/channel Dcoded © use, (24) where we have implicitly assumed a single channel use for each temporal field sample. It is well-known that for any source with th... |

202 |
Distributed compression in a dense microsensor network
- Pradhan, Kusuma, et al.
- 2002
(Show Context)
Citation Context ...sed on piecewise polynomial fits of order ⌈α⌉ − 1. We assume our sensors take samples of the field contaminated by noise. An alternative perspective, that is commonly used in related work [10], [11], =-=[12]-=-, [13], is that f is a realization of a stationary (often bandlimited) random field with some known correlation function. The decay characteristics of the correlation (e.g., the rate of decay) play a ... |

199 |
Minimax theory of image reconstruction.
- Korostelev, A, et al.
- 1993
(Show Context)
Citation Context ... 2 w. If the destination has direct access to the measurements (noise-free communication), the wellknown (minimax) optimal estimation error is inf £f sup E{�f −¢f� f 2 L2 } ≍ n−2α/(2α+d) in this case =-=[9]-=-. Moreover, a practical field estimator can be easily constructed by partitioning [0, 1] d into m = n d/(2α+d) (square) cells of volume 1/m and computing the least squares fit of an order p = α − 1 po... |

146 | On the manyto-one transport capacity of a dense wireless sensor network and the compressibility of its data
- Marco, Duarte-Melo, et al.
- 2003
(Show Context)
Citation Context ... be based on piecewise polynomial fits of order ⌈α⌉ − 1. We assume our sensors take samples of the field contaminated by noise. An alternative perspective, that is commonly used in related work [10], =-=[11]-=-, [12], [13], is that f is a realization of a stationary (often bandlimited) random field with some known correlation function. The decay characteristics of the correlation (e.g., the rate of decay) p... |

87 | Source-channel communication in sensor networks.
- Gastpar, Vetterli
- 2003
(Show Context)
Citation Context ...imation or detection of a single source indicate that joint optimization through a form of source-channel matching, facilitated by limited local node cooperation, can result in dramatic power savings =-=[1]-=-, [2], [3], [4], [5]. In this paper, we propose a distributed architecture for matched source-channel communication for optimized sensing and estimation of a homogeneous spatial field using a wireless... |

77 |
Nonlinear approximation", Acta numerica,
- DeVore
- 1998
(Show Context)
Citation Context ...eld estimation is possible as node density increases even if the total network power consumption tends to zero. Our approach involves a novel combination of existing results from approximation theory =-=[6]-=-, statistics [7], and wireless communications [1], [2], [3], [4], [5], [8]. The decay rate of the squared L2-distortion at the destination depends on three quantities; n, the number of wireless sensin... |

72 | Multiscale likelihood analysis and complexity penalized estimation,” Annals of Statistics
- Kolaczyk, Nowak
- 2004
(Show Context)
Citation Context ...s possible as node density increases even if the total network power consumption tends to zero. Our approach involves a novel combination of existing results from approximation theory [6], statistics =-=[7]-=-, and wireless communications [1], [2], [3], [4], [5], [8]. The decay rate of the squared L2-distortion at the destination depends on three quantities; n, the number of wireless sensing nodes in the n... |

65 | Estimating inhomogeneous fields using wireless sensor networks,”
- Nowak, Mitra, et al.
- 2004
(Show Context)
Citation Context ...work power consumption tends to zero. Our approach involves a novel combination of existing results from approximation theory [6], statistics [7], and wireless communications [1], [2], [3], [4], [5], =-=[8]-=-. The decay rate of the squared L2-distortion at the destination depends on three quantities; n, the number of wireless sensing nodes in the network, P , the communication power expended by each node,... |

42 |
Distributed Sampling for Dense Sensor Networks: A" Bit-Conservation Principle".
- Ishwar, Kumar, et al.
- 2003
(Show Context)
Citation Context ... would be based on piecewise polynomial fits of order ⌈α⌉ − 1. We assume our sensors take samples of the field contaminated by noise. An alternative perspective, that is commonly used in related work =-=[10]-=-, [11], [12], [13], is that f is a realization of a stationary (often bandlimited) random field with some known correlation function. The decay characteristics of the correlation (e.g., the rate of de... |

41 | Optimal distributed detection strategies for wireless sensor networks
- Liu, Sayeed
- 2004
(Show Context)
Citation Context ...ction of a single source indicate that joint optimization through a form of source-channel matching, facilitated by limited local node cooperation, can result in dramatic power savings [1], [2], [3], =-=[4]-=-, [5]. In this paper, we propose a distributed architecture for matched source-channel communication for optimized sensing and estimation of a homogeneous spatial field using a wireless network of sen... |

22 |
Distributed Classification of Gaussian Space-Time Sources in Wireless Sensor Networks,”
- D’Costa, Ramachandran, et al.
- 2004
(Show Context)
Citation Context ... of a single source indicate that joint optimization through a form of source-channel matching, facilitated by limited local node cooperation, can result in dramatic power savings [1], [2], [3], [4], =-=[5]-=-. In this paper, we propose a distributed architecture for matched source-channel communication for optimized sensing and estimation of a homogeneous spatial field using a wireless network of sensors.... |

19 | On the Feasibility of Large-Scale Wireless Sensor Networks
- Servetto
- 2002
(Show Context)
Citation Context ... piecewise polynomial fits of order ⌈α⌉ − 1. We assume our sensors take samples of the field contaminated by noise. An alternative perspective, that is commonly used in related work [10], [11], [12], =-=[13]-=-, is that f is a realization of a stationary (often bandlimited) random field with some known correlation function. The decay characteristics of the correlation (e.g., the rate of decay) play a role a... |

17 |
Power-bandwidthdistortion scaling laws for sensor networks
- Gastpar, Vetterli
- 2003
(Show Context)
Citation Context ... detection of a single source indicate that joint optimization through a form of source-channel matching, facilitated by limited local node cooperation, can result in dramatic power savings [1], [2], =-=[3]-=-, [4], [5]. In this paper, we propose a distributed architecture for matched source-channel communication for optimized sensing and estimation of a homogeneous spatial field using a wireless network o... |

5 | A statistical signal modeling framework for wireless sensor networks - Sayeed - 2004 |