Xiangmao Chang1, 2, *, Yuan Qiu1, Shangting Su1, Deliang Yang3
CMC-Computers, Materials & Continua, Vol.63, No.2, pp. 691-703, 2020, DOI:10.32604/cmc.2020.07923
Abstract Wireless sensor networks are increasingly used in sensitive event monitoring.
However, various abnormal data generated by sensors greatly decrease the accuracy of the
event detection. Although many methods have been proposed to deal with the abnormal
data, they generally detect and/or repair all abnormal data without further differentiate.
Actually, besides the abnormal data caused by events, it is well known that sensor nodes
prone to generate abnormal data due to factors such as sensor hardware drawbacks and
random effects of external sources. Dealing with all abnormal data without differentiate
will result in false detection or missed detection of the events.… More >
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