Name
Title | ||
|---|---|---|
Information, energy and density for Ad Hoc sensor networks over correlated random fields: Large deviations analysis |
Abstract | ||
|---|---|---|
Using large deviations results that characterize the amount of information per node on a two-dimensional (2-D) lattice, asymptotic behavior of a sensor network deployed over a correlated random field for statistical inference is investigated. Under a 2-D hidden Gauss-Markov random field model with symmetric first order conditional autoregression, the behavior of the total information [nats] and energy efficiency [nats/J] defined as the ratio of total gathered information to the required energy is obtained as the coverage area, node density and energy vary. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ISIT.2008.4595256 | Clinical Orthopaedics and Related Research |
Keywords | DocType | Volume |
symmetric autoregression,first order conditional autoregression,ad hoc sensor networks,autoregressive processes,correlated random fields,hidden gauss-markov random field model,statistical inference,ad hoc networks,two-dimensional lattice,hidden markov models,large deviation analysis,gaussian processes,noise,signal to noise ratio,noise measurement,network address translation,gaussian noise,information analysis,lattices,correlation,signal analysis,limiting | Journal | abs/0805.0184 |
ISBN | Citations | PageRank |
978-1-4244-2257-9 | 3 | 0.50 |
References | Authors | |
6 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Youngchul Sung | 1 | 621 | 45.85 |
| H. V. Poor | 2 | 25411 | 1951.66 |
| Heejung Yu | 3 | 154 | 22.19 |