NDLI: SNR efficient transmission for compressive sensing based wireless sensor networks

Content Provider	IEEE Xplore Digital Library
Author	Seunggye Hwang Junghun Park Dongku Kim Janghoon Yang
Copyright Year	2013
Description	Author affiliation: Sch. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea (Seunggye Hwang; Junghun Park; Dongku Kim) \|\| Dept. of Newmeida, Korean German Inst. of Technol. Seoul, Seoul, South Korea (Janghoon Yang)
Abstract	Compressive sensing(CS) is an emerging technology that can recover a signal from under sampled measurements based on sparsity of the signal in some basis domain. Even though CS associated with wireless sensor networks (WSNs) has contributed in developing efficient compression and detection algorithms, most research has focused on detection problem with a simple model without considering properties of physical channels. This paper considers a compressive sensing based WSN, that exploits channel gain to transmit and detect signals efficiently. Assuming that measured signals at each sensor are correlated and sparse at some basis domain, we propose a novel sensor selection scheme and associated signaling channel design to improve detection performance. The simulation results show that the proposed method support reduction in the number of measurmenets by 60~80% for a wide range of sparsity level at high and low SNRs.
Sponsorship	IEEE Commun. Soc.
Starting Page	1
Ending Page	6
File Size	1054957
Page Count	6
File Format	PDF
ISBN	9781467356152
e-ISBN	9781467356169
e-ISBN	9781467356145
DOI	10.1109/WMNC.2013.6548981
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-04-23
Publisher Place	United Arab Emirates
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless sensor networks Compressive sensing Measurement uncertainty Encoding Vectors Sparse matrices Sensor scheduling Compressed sensing Signal to noise ratio
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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