The research of event-based intelligent prediction with minimum energy consumption of wireless sensor network node state transition strategy | Zendy

Jingzhao Li | Zendy; Dayu Yang | Zendy; Ping Ren | Zendy; Zhijun Zhang | Zendy

Open Access

The research of event-based intelligent prediction with minimum energy consumption of wireless sensor network node state transition strategy

Author(s) -

Jingzhao Li,

Dayu Yang,

Ping Ren,

Zhijun Zhang

Publication year - 2017

Publication title -

international journal of ad hoc and ubiquitous computing

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.183

H-Index - 24

eISSN - 1743-8233

pISSN - 1743-8225

DOI - 10.1504/ijahuc.2017.085120

Subject(s) - wireless sensor network , computer science , node (physics) , event (particle physics) , real time computing , energy consumption , kalman filter , state (computer science) , fuzzy logic , sensor node , key distribution in wireless sensor networks , energy (signal processing) , set (abstract data type) , wireless network , data mining , computer network , wireless , algorithm , artificial intelligence , mathematics , telecommunications , engineering , biology , programming language , ecology , statistics , physics , structural engineering , quantum mechanics

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