NDLI: Energy efficient weighted sampling matrix based CS technique for WSN

Content Provider	IEEE Xplore Digital Library
Author	Monika, R. Hemalatha, R. Radha, S.
Copyright Year	2015
Description	Author affiliation: ECE Dept., SSN Coll. of Eng., Chennai, India (Monika, R.; Hemalatha, R.; Radha, S.)
Abstract	Sensor nodes have energy constraints which significantly reduces their lifetime. Compressed Sensing (CS) can be used to achieve compression and energy efficiency, thereby increasing the lifetime of WSN. However, signal components are projected in a random direction which produces poor performance on complex signals. In order to achieve efficiency, adaptive projection of signal components is necessary. Hence, block CS (BCS) with Haar DWT (HDWT) based image representation and Energy based Re-weighted Sampling (ERWS) techniques are proposed to extract the high energy components of the image. Analysis confirms that the proposed method outperforms conventional techniques even for fewer measurements and reconstructed image quality is greatly enhanced. Experimental analysis is done using Atmega128 of Mica2 mote. Execution time and energy consumed are computed in the hardware platform. HDWT based ERWS has approximately 34.5 % lesser energy consumption than DCT based BCS techniques.
Sponsorship	IEEE
Starting Page	1
Ending Page	4
File Size	761451
Page Count	4
File Format	PDF
e-ISBN	9781479982035
DOI	10.1109/ICSENS.2015.7370653
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-01
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Discrete cosine transforms Discrete wavelet transforms Image reconstruction Image coding Energy consumption Sparse matrices Compressed sensing Orthogonal matching pursuit DCT Haar DWT Block Compressed Sensing ERWS Atmega 128
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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