NDLI: An Optimal CDG Framework for Energy Efficient WSNs

Content Provider	IET Digital Library
Author	Yan, Wenjie Dong, Yongfeng Zhang, Suqi Wang, Zijuan
Abstract	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.
Starting Page	137
Ending Page	144
Page Count	8
ISSN	10224653
Volume Number	26
e-ISSN	20755597
Issue Number	Issue 1, Jan (2017)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/cje/26/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/cje.2016.10.017
Journal	Chinese Journal of Electronics
Publisher Date	2017-01-01
Access Restriction	Open
Rights Holder	© Chinese Institute of Electronics
Subject Keyword	Algebra Combinatorial Mathematics Communication Network Design, Planning And Routing Compressed Data Measurement Compressed Sensing Data Transmission Reduction Diffusion Wavelet Transform Matrix DWTM Energy Conservation Energy Consumption Energy Consumption Minimization Energy Efficient WSN Function Theory And Analysis Graph Theory Integral Transforms Mathematics Measurement Matrix Optimization Algorithm MMOA ODAT Algorithm Optimal CDG Framework Optimal Compressed Data Gathering Framework Optimal Data Aggregation Tree Algorithm Routing Technology Set Theory Signal Processing And Detection Signal Representation Sparse Representation Telecommunication Network Routing Telecommunication Power Management Trees Wavelet Transform Wireless Sensor Network
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Electrical and Electronic Engineering

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