eprintid: 1751
rev_number: 8
eprint_status: archive
userid: 12
dir: disk0/00/00/17/51
datestamp: 2016-05-27 03:10:44
lastmod: 2016-05-27 03:13:03
status_changed: 2016-05-27 03:10:44
type: conference_item
metadata_visibility: show
creators_name: Nguyen, Dinh Chinh
creators_name: Tran, Duc Tan
creators_name: Tran, Duc Nghia
creators_id: chinhnd@vnu.edu.vn
creators_id: tantd@vnu.edu.vn
creators_id: nghiatd@gmail.com
title: Application of compressed sensing in effective power consumption of WSN for landslide scenario
ispublished: pub
subjects: ECE
subjects: ElectronicsandComputerEngineering
divisions: fac_fet
abstract: Wireless sensor network (WSN) is an effective facility to predict and monitor the landslide in real time. One of the problems of the WSN for landslide monitoring is the power consumption. There is a lot of work have tried to overcome this limitation. This paper focuses on a new development of compressed sensing (CS) based algorithm which can be applied for landslide monitoring. This work exploits the natural properties of the data acquired in the time domain. The transmitted data is the random set of the Fourier coefficients corresponding to the time domain data. The effective algorithm is verified by both simulated and experimental data which are sensed from multiple sensors in the wireless node.
date: 2015
date_type: published
full_text_status: public
pres_type: paper
pagerange: 1-5
event_title: Multimedia and Broadcasting (APMediaCast), 2015 Asia Pacific Conference on
event_location: Bali, Indonesia
event_dates: 23-25 April 2015
event_type: conference
refereed: TRUE
citation:   Nguyen, Dinh Chinh and Tran, Duc Tan and Tran, Duc Nghia  (2015) Application of compressed sensing in effective power consumption of WSN for landslide scenario.  In: Multimedia and Broadcasting (APMediaCast), 2015 Asia Pacific Conference on, 23-25 April 2015, Bali, Indonesia.     
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/1751/1/apmediacast_paper.pdf