An Optimal CDG Framework for Energy Efficient WSNs

• Published in: Chinese Journal of Electronics Vol. 26; no. 1; pp. 137 - 144
• Main Authors: Yan, Wenjie, Dong, Yongfeng, Zhang, Suqi, Wang, Zijuan
• Format: Journal Article
• Language: English
• Published: Published by the IET on behalf of the CIE 01-01-2017
• Subjects: compressed data measurement; compressed sensing; Compressed sensing (CS); data transmission reduction; diffusion wavelet transform matrix; DWTM; energy conservation; energy consumption; energy consumption minimization; energy efficient WSN; Measurement matrix; measurement matrix optimization algorithm; MMOA; ODAT algorithm; optimal CDG framework; optimal compressed data gathering framework; Optimal data aggregation tree (ODAT); optimal data aggregation tree algorithm; routing technology; signal representation; sparse representation; telecommunication network routing; telecommunication power management; trees (mathematics); wavelet transforms; wireless sensor network; wireless sensor networks; Wireless sensor networks (WSNs)
• ISSN: 1022-4653; 2075-5597
• DOI: 10.1049/cje.2016.10.017

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.