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Abstract: Using large deviations results that characterize the amount of informationper node on a two-dimensional 2-D lattice, asymptotic behavior of a sensornetwork deployed over a correlated random field for statistical inference isinvestigated. Under a 2-D hidden Gauss-Markov random field model with symmetricfirst order conditional autoregression, the behavior of the total informationnats and energy efficiency nats-J defined as the ratio of total gatheredinformation to the required energy is obtained as the coverage area, nodedensity and energy vary.



Autor: Youngchul Sung, H. Vincent Poor, Heejung Yu

Fuente: https://arxiv.org/







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