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Event‐triggered robust state estimation for wireless sensor networks
Author(s) -
Liu Huabo,
Yu Haisheng
Publication year - 2020
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.2051
Subject(s) - wireless sensor network , estimator , computer science , robustness (evolution) , state (computer science) , node (physics) , state estimator , transmission (telecommunications) , constraint (computer aided design) , event (particle physics) , key distribution in wireless sensor networks , real time computing , energy consumption , sensor fusion , control theory (sociology) , wireless , wireless network , computer network , engineering , algorithm , mathematics , artificial intelligence , telecommunications , control (management) , chemistry , structural engineering , biochemistry , quantum mechanics , mechanical engineering , statistics , physics , gene , electrical engineering
Abstract Robust state estimation problem subject to a communication constraint is investigated in this paper for a class of wireless sensor networks constituted by multiple remote sensor nodes and a fusion node. An analytical robust fusion estimator using local event‐triggered transmission strategies is derived aiming to reduce energy consumption of the sensor nodes and refrain from network traffic congestion. Some conditions are presented guaranteeing the uniformly bounded estimation errors of the robust state estimator. Several numerical simulations are presented to show the validity of the proposed method.