Open AccessAn Optimal CDG Framework for Energy Efficient WSNs
Author(s) -
Yan Wenjie,
Dong Yongfeng,
Zhang Suqi,
Wang Zijuan
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.2016.10.017
Subject(s) - computer science , energy (signal processing) , wireless sensor network , computer network , distributed computing , mathematics , statistics
Compressed sensing (CS) has been applied widely in Wireless sensor networks (WSNs) recently. An optimal Compressed data gathering (CDG) framework for energy efficient WSNs is proposed here. A novel Measurement matrix optimization algorithm (MMOA) is proposed for compressed data measurement in WSNs. Diffusion wavelet transform matrix (DWTM) is chosen for sparse representation of the compressed data. An Optimal data aggregation tree (ODAT) algorithm is presented based on CS and routing technology. MMOA is to reduce the data transmissions under the same data reconstruction ratio. DWTM is to make the original data become more sparse and to increase the compressed data reconstruction ratio. The main purpose of ODAT is to minimize the energy consumption of the whole WSNs through the CDG technology and the optimal route. We validate the efficiency of the proposed CDG framework based on MMOA, DWTM and ODAT through extensive experiments.