A HYBRID ANOMALY DETECTION SYSTEM USING CLUSTERING MODULES FOR WIRELESS SENSOR NETWORKS

Anu Saini

Abstract


The primary motivation behind this research is to consider and execute vitality productive information gathering instruments to recognize sensor information anomalies. Identification of sensor information abnormalities is helpful for reasonable applications and in addition for arrange administration, in light of the fact that the examples found can be utilized for both basic leadership in applications and framework execution tuning. Remote Sensor Network is utilized to detect the information utilizing portable robots from the conveyed sensor region organize. Till now the versatility of inconsistency recognition to noxious estimations has been tried just against subjective assaults, which are not really refined. The essential objective of advancement in this situation is to limit the voyaging separation by the robot. At the point when the information is detected by robot it contains a few abnormalities and oddities which influences the framework execution and it builds the transfer speed and cost also.

KeywordsWSN, Mobile Robots, Anomaly & Sensor Data


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