NDLI: Transmission and encoding research on life status data in WSN combined with OVTDM and CS

Content Provider	IEEE Xplore Digital Library
Author	Zhang Fan Zhang Xihong
Copyright Year	2015
Description	Author affiliation: Hefei New Star Inst. of Appl. Technol., Hefei, China (Zhang Fan) \|\| Yanching Inst. of Technol., Beijing, China (Zhang Xihong)
Abstract	In view of the life status mass data collected, Wireless Sensor Networks(WSN) has a problem of limited sampling rate and low encoding efficiency, etc. Under the Nyquist sampling criterion, traditional data encoding way has reached Shannon limit performance, and spectrum efficiency has little room for improvement. So it becomes very urgent to compress the data and reduce communication expenditure. The authors plan to use the technology of Overlapped Time Division Multiplexing(OVTDM) and Compressive Sensing(CS) jointly to carry out further research on life status Data of WSN, which overthrows traditional Nyquist criterion respectively. Under the precondition of source encoding and channel encoding, the research idea is to use CS to reduce the amount of data procession sharply, and to combine OVTDM to improve the encoding efficiency and spectrum efficiency significantly. The specific approach is to build a typical data decoding system model of WSN, and to research bit error rate and signal to noise ratio of data encoding under different fading channel using the different procession methods, which aims at assessing the research effect of data encoding improvement in WSN. The project will not only break through the theory bottleneck of the existing technology, but also has important significance for clarifying the mechanism of transmission and encoding of life status data in WSN, revealing the research law of basic theory, and expanding the engineering application fields of this technology.
Starting Page	1
Ending Page	4
File Size	908333
Page Count	4
File Format	PDF
e-ISBN	9781479961689
DOI	10.1109/Ubi-HealthTech.2015.7203319
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fading Wireless sensor networks Image coding OFDM Overlapped Time Division Multiplexing; Compressive Sensing; Wireless Sensor Networks; Data Encoding; Spectrum Efficiency Decoding Channel coding
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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