eprintid: 2682
rev_number: 8
eprint_status: archive
userid: 336
dir: disk0/00/00/26/82
datestamp: 2017-11-29 03:51:01
lastmod: 2017-11-29 03:51:01
status_changed: 2017-11-29 03:51:01
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: DF-SWin: Sliding Windows for Multi-Sensor Data Fusion in Wireless Sensor Networks
ispublished: pub
subjects: IT
divisions: fac_fit
abstract: Abstract— When using multiple sensor nodes in wireless sensor networks (WSNs) for monitoring (or measuring) parameters of the target and sending the result to the base
station (BS), data redundancy is an inevitable problem. The
measured data often contains the same information, and sending redundant data to BS causes the waste of energy of sensor nodes and the risk of congestion. Multi-sensor data fusion in WSNs is a technology of gathering and processing data applied from node to BS. It improves the performance of surveillance systems by allowing the obtained sensed information from multiple sensor nodes aggregated to one unified format data packet to send to BS to make decision. In this paper, we propose a solution namely DF-SWin for sampling sensor node in the cluster to optimize the energy conservation of sensor nodes in clusters and cluster head.
Keywords— DF-SWin, sliding window, data fusion, WSNs
date: 2017-10-19
date_type: published
full_text_status: public
pres_type: paper
pagerange: 62-67
event_title: The 9th International Conference, Knowledge and Systems Engineering (KSE)
event_location: Hue, Vietnam
event_dates: 19-21 October 2017
event_type: conference
refereed: TRUE
citation:   Duong, Viet Huy and Nguyen, Dinh Viet  (2017) DF-SWin: Sliding Windows for Multi-Sensor Data Fusion in Wireless Sensor Networks.  In: The 9th International Conference, Knowledge and Systems Engineering (KSE), 19-21 October 2017, Hue, Vietnam.     
document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2682/1/HuyDV-VietND-Paper-KSE2017-Proceedings.pdf