Computer Science – Information Theory
Scientific paper
2005-01-21
Computer Science
Information Theory
To appear in Proceedings of the 2005 IEEE International Conference on Acoustics, Speech and Signal Processing, Philadelphia, P
Scientific paper
Sensor networks in which energy is a limited resource so that energy consumption must be minimized for the intended application are considered. In this context, an energy-efficient method for the joint estimation of an unknown analog source under a given distortion constraint is proposed. The approach is purely analog, in which each sensor simply amplifies and forwards the noise-corrupted analog bservation to the fusion center for joint estimation. The total transmission power across all the sensor nodes is minimized while satisfying a distortion requirement on the joint estimate. The energy efficiency of this analog approach is compared with previously proposed digital approaches with and without coding. It is shown in our simulation that the analog approach is more energy-efficient than the digital system without coding, and in some cases outperforms the digital system with optimal coding.
Cui Shuguang
Goldsmith Andrea
Luo Zhi-Quan
Poor Harold Vincent
Xiao Jinjun
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