Modeling and simulation of abnormal behavior detection through history trajectory monitoring in wireless sensor networks

HIGHLIGHTS

  • who: I. from the Department of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, Republic of Korea have published the research work: Modeling and Simulation of Abnormal Behavior Detection through History Trajectory Monitoring in Wireless Sensor Networks, in the Journal: (JOURNAL)
  • what: In this paper, behavior based on the history trajectory enabling the detection of an FPA and an FNA is analyzed, and further details on a false report restoring method are provided. The statistical en-route filtering (SEF) and cluster-based false-data filtering (CFFS) methods shown in Table I are enroute-based false report . . .

     

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