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Side information aware coding strategies for sensor networks
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DOI：10.1109/JSAC.2004.830875.png)
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摘要
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We develop coding strategies for estimation under communication constraints in tree-structured sensor networks. The strategies have a modular and decentralized architecture. This promotes the flexibility, robustness, and scalability that wireless sensor networks need to operate in uncertain, changing, and resource-constrained environments. The strategies are based on a generalization of Wyner-Ziv source coding with decoder side information. We develop solutions for general trees, and illustrate our results in serial (pipeline) and parallel (hub-and-spoke) networks. Additionally, the strategies can be applied to other network information theory problems. They have a successive coding structure that gives an inherently less complex way to attain a number of prior results, as well as some novel results, for the Chief Executive Officer problem, multiterminal source coding, and certain classes of relay channels.
Keyword:
Chief Executive Officer (CEO) problems
data fusion
distributed defection
distributed estimation
multiterminal source coding
rate distortion theory
relay channels
sensor networks
side information
Wyner-Ziv coding
期刊
IF:
17.2
论文数:
6.4K
被引数:
3.1W
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