An Optimal CDG Framework for Energy Efficient WSNs

作     者：YAN Wenjie DONG Yongfeng ZHANG Suqi WANG Zijuan 

作者机构：School of Computer Science and Engineering Hebei University of Technology School of Information Engineering Tianjin University of Commerce School of Life Science Northeast Forestry University 

出 版 物：《Chinese Journal of Electronics》 (电子学报(英文))

年 卷 期：2017年第26卷第1期

页      面：137-144页

核心收录：

学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 080202[工学-机械电子工程] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 081001[工学-通信与信息系统] 0802[工学-机械工程] 

基　　金：supported by the Natural Science Foundation of Hebei Province of China(No.F2015202214) the Tianjin Application Foundation and Advanced Technology Research Program(No.15JCQNJC00600,No16JCQNJC00400) the National Natural Science Foundation of China(No.61201310,No.61174016) Science and Technology Program of Hebei Province of China(No.15210506) 

主　　题：Wireless sensor networks(WSNs) Compressed sensing(CS) Measurement matrix Optimal data aggregation tree(ODAT) 

摘      要：Compressed sensing(CS) has been applied widely in Wireless sensor networks(WSNs) *** 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.