eprintid: 2681
rev_number: 8
eprint_status: archive
userid: 336
dir: disk0/00/00/26/81
datestamp: 2017-11-29 03:50:20
lastmod: 2017-11-29 03:50:20
status_changed: 2017-11-29 03:50:20
type: conference_item
metadata_visibility: show
creators_name: Duong, Viet Huy
creators_name: Nguyen, Dinh Viet
creators_id: dvh_itdr@yahoo.com
creators_id: vietnd@vnu.edu.vn
title: ATTS-DF: Adaptive Tracking Solution to the Target for Data Fusion in Wireless Sensor Networks
ispublished: pub
subjects: IT
divisions: fac_fit
abstract: Wireless sensor networks are composed of many sensor nodes limited to residual energy. The sensor nodes are randomly scattered within in the ranger monitoring and sending - receiving data by radio waves. The measured data often contains the same information, and sending to base station causes the waste of energy of sensor nodes and the risk of congestion. According to the statistics, the energy consumed
by transceiver radio signals is many times greater than the
energy consumes to process other tasks of sensor node including the calculation on the sensor node. In this paper, we propose algorithms installed on the sensor nodes to monitor non-cyclical target fixed, which base on the fluctuation of the target when it exceeds the threshold. Moreover, algorithm control sensor nodes measures just in time fluctuations exceeded targets need to measure.
Keywords— adaptive tracking, data fusion, ATTS-DF, WSNs
date: 2017-07-21
date_type: published
full_text_status: public
pres_type: paper
pagerange: 526-531
event_title: IEEE International Conference on System Science and Engineering, ICSSE2017
event_location: Ho Chi Minh City, Vietnam
event_dates: 21-23 July 2017
event_type: conference
refereed: TRUE
citation:   Duong, Viet Huy and Nguyen, Dinh Viet  (2017) ATTS-DF: Adaptive Tracking Solution to the Target for Data Fusion in Wireless Sensor Networks.  In: IEEE International Conference on System Science and Engineering, ICSSE2017, 21-23 July 2017, Ho Chi Minh City, Vietnam.     
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2681/1/ICSSE2017_paper.pdf