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CORR
2006
Springer
107views Education» more  CORR 2006»
13 years 4 months ago
Dense Gaussian Sensor Networks: Minimum Achievable Distortion and the Order Optimality of Separation
We investigate the optimal performance of dense sensor networks by studying the joint source-channel coding problem. The overall goal of the sensor network is to take measurements...
Nan Liu, Sennur Ulukus
CORR
2006
Springer
95views Education» more  CORR 2006»
13 years 4 months ago
Optimal Distortion-Power Tradeoffs in Gaussian Sensor Networks
We investigate the optimal performance of dense sensor networks by studying the joint source-channel coding problem. The overall goal of the sensor network is to take measurements ...
Nan Liu, Sennur Ulukus
CORR
2006
Springer
86views Education» more  CORR 2006»
13 years 4 months ago
Optimal Distortion-Power Tradeoffs in Sensor Networks: Gauss-Markov Random Processes
We investigate the optimal performance of dense sensor networks by studying the joint source-channel coding problem. The overall goal of the sensor network is to take measurements ...
Nan Liu, Sennur Ulukus
ICASSP
2010
IEEE
13 years 4 months ago
Energy efficient lossy transmission over sensor networks with feedback
The energy-distortion function (E(D)) for a network is defined as the minimum total energy required to achieve a target distortion D at the receiver without putting any restricti...
Aman Jain, Deniz Gündüz, Sanjeev R. Kulk...
DCC
2005
IEEE
14 years 4 months ago
Distributed Source Coding in Dense Sensor Networks
We study the problem of the reconstruction of a Gaussian field defined in [0, 1] using N sensors deployed at regular intervals. The goal is to quantify the total data rate require...
Akshay Kashyap, Cathy H. Xia, Luis Alfonso Lastras...