TY - GEN
T1 - Temporally staggered sensing for field estimation with quantized data in wireless sensor networks
AU - Liu, Sijia
AU - Masazade, Engin
AU - Varshney, Pramod K.
PY - 2012
Y1 - 2012
N2 - In this paper, we present an optimal sensor staggering strategy to estimate a spatially and temporally varying field using quantized sensor data in wireless sensor networks. In order to predict the field intensity at a particular field point of interest, we first extend ordinary kriging to the case of quantized sensor data. Then, we derive the Average Quantized Kriging Error Variance (AQKEV) of the field as a performance metric which is then numerically minimized to find each sensors optimal sampling instant. Simulation results show that, the proposed sensor staggering strategy which is a function of the temporal correlation of the field yields better AQKEV as compared to the non-staggered and uniformly staggered strategies.
AB - In this paper, we present an optimal sensor staggering strategy to estimate a spatially and temporally varying field using quantized sensor data in wireless sensor networks. In order to predict the field intensity at a particular field point of interest, we first extend ordinary kriging to the case of quantized sensor data. Then, we derive the Average Quantized Kriging Error Variance (AQKEV) of the field as a performance metric which is then numerically minimized to find each sensors optimal sampling instant. Simulation results show that, the proposed sensor staggering strategy which is a function of the temporal correlation of the field yields better AQKEV as compared to the non-staggered and uniformly staggered strategies.
KW - Wireless sensor networks
KW - field estimation
KW - ordinary kriging
KW - quantized measurements
KW - temporally staggered sensing
UR - http://www.scopus.com/inward/record.url?scp=84868222989&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84868222989&partnerID=8YFLogxK
U2 - 10.1109/SSP.2012.6319746
DO - 10.1109/SSP.2012.6319746
M3 - Conference contribution
AN - SCOPUS:84868222989
SN - 9781467301831
T3 - 2012 IEEE Statistical Signal Processing Workshop, SSP 2012
SP - 512
EP - 515
BT - 2012 IEEE Statistical Signal Processing Workshop, SSP 2012
T2 - 2012 IEEE Statistical Signal Processing Workshop, SSP 2012
Y2 - 5 August 2012 through 8 August 2012
ER -