TY - GEN
T1 - Fault-tolerant event region detection in wireless sensor networks using statistical hypothesis test
AU - Caott, Donglei
AU - Jin, Beihong
AU - Cao, Jiannong
PY - 2008/12/1
Y1 - 2008/12/1
N2 - Most existing algorithms for fault-tolerant event detection only assume that events are spatially, but we argue that events are usually both and temporally correlated. By examining the correlation of sensor measurements, we a detection algorithm by applying statistical test (SHT). SHT-based algorithm is more in detecting event regions, and is more energy since it avoids measurement exchanges. To the capability offault recognition, we extend based algorithm by examining both spatial and correlations of sensor measurements. The SHT-based algorithm can recognize almost faults when sensor network is densely deployed
AB - Most existing algorithms for fault-tolerant event detection only assume that events are spatially, but we argue that events are usually both and temporally correlated. By examining the correlation of sensor measurements, we a detection algorithm by applying statistical test (SHT). SHT-based algorithm is more in detecting event regions, and is more energy since it avoids measurement exchanges. To the capability offault recognition, we extend based algorithm by examining both spatial and correlations of sensor measurements. The SHT-based algorithm can recognize almost faults when sensor network is densely deployed
UR - http://www.scopus.com/inward/record.url?scp=67650672994&partnerID=8YFLogxK
U2 - 10.1109/MAHSS.2008.4660039
DO - 10.1109/MAHSS.2008.4660039
M3 - Conference article published in proceeding or book
SN - 9781424425754
T3 - IEEE International Conference on Mobile Ad-hoc and Sensor Systems
SP - 533
EP - 534
BT - 2008 5th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems, MASS 2008
T2 - 2008 5th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems, MASS 2008
Y2 - 29 September 2008 through 2 October 2008
ER -