TY - GEN
T1 - Optimal node density for two-dimensional sensor arrays
AU - Sung, Youngchul
AU - Poor, H. Vincent
AU - Yu, Heejung
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=52949117155&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=52949117155&partnerID=8YFLogxK
U2 - 10.1109/SAM.2008.4606870
DO - 10.1109/SAM.2008.4606870
M3 - Conference contribution
AN - SCOPUS:52949117155
SN - 9781424422418
T3 - SAM 2008 - 5th IEEE Sensor Array and Multichannel Signal Processing Workshop
SP - 271
EP - 274
BT - SAM 2008 - 5th IEEE Sensor Array and Multichannel Signal Processing Workshop
T2 - SAM 2008 - 5th IEEE Sensor Array and Multichannel Signal Processing Workshop
Y2 - 21 July 2008 through 23 July 2008
ER -