Open AccessFuzzy Sets Assisted Forthcoming Event Detection from Distributed Sensory Data
Author(s) -
Li Yinglong,
Mo Shangfeng,
Li Yanyan,
Zhou Zhiqiang,
Lyu Mingqi
Publication year - 2017
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2017.08.007
Subject(s) - computer science , event (particle physics) , fuzzy logic , event data , sensory system , artificial intelligence , data mining , pattern recognition (psychology) , psychology , cognitive psychology , physics , quantum mechanics , information extraction
Detecting the forthcoming events timely is a primary way to minimize their (events) damages in distributed sensor systems. We propose a novel event detection framework for sensor networks with multi microenvironments using fuzzy sets. Fuzzy sets assisted event information description and fusion approaches are proposed, as well as two distributed Node‐level forthcoming event detection (NFED) algorithms are devised respectively. Experimental results on both real‐life and synthetic data sets demonstrate that our NFED‐by leveraging Spatial correlations (NFED‐bySC) algorithm only requires a small amount of data transmission with accuracy guarantee.