Optimal node density for two-dimensional sensor arrays

Youngchul Sung, H. Vincent Poor, Heejung Yu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

The problem of optimal node density for ad hoc sensor networks deployed for making inferences about two dimensional correlated random fields is considered. Using a symmetric first order conditional autoregressive Gauss-Markov random field model, large deviations results are used to characterize the asymptotic per-node information gained from the array. This result then allows an analysis of the node density that maximizes the information under an energy constraint, yielding insights into the trade-offs among the information, density and energy.

Original languageEnglish (US)
Title of host publicationSAM 2008 - 5th IEEE Sensor Array and Multichannel Signal Processing Workshop
Pages271-274
Number of pages4
DOIs
StatePublished - Oct 6 2008
EventSAM 2008 - 5th IEEE Sensor Array and Multichannel Signal Processing Workshop - Darmstadt, Germany
Duration: Jul 21 2008Jul 23 2008

Publication series

NameSAM 2008 - 5th IEEE Sensor Array and Multichannel Signal Processing Workshop

Other

OtherSAM 2008 - 5th IEEE Sensor Array and Multichannel Signal Processing Workshop
CountryGermany
CityDarmstadt
Period7/21/087/23/08

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering

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    Sung, Y., Poor, H. V., & Yu, H. (2008). Optimal node density for two-dimensional sensor arrays. In SAM 2008 - 5th IEEE Sensor Array and Multichannel Signal Processing Workshop (pp. 271-274). [4606870] (SAM 2008 - 5th IEEE Sensor Array and Multichannel Signal Processing Workshop). https://doi.org/10.1109/SAM.2008.4606870