eprintid: 1612
rev_number: 14
eprint_status: archive
userid: 21
dir: disk0/00/00/16/12
datestamp: 2016-06-02 01:48:02
lastmod: 2016-06-02 01:48:02
status_changed: 2016-06-02 01:48:02
type: conference_item
metadata_visibility: show
creators_name: Duong, Viet Huy
creators_name: Nguyen, Dinh Viet
creators_id: vietnd@vnu.edu.vn
title: DF-AMS: Proposed solutions for multi-sensor data fusion in wireless sensor networks
ispublished: pub
subjects: Communications
subjects: IT
divisions: fac_fit
abstract: When using multiple sensor nodes in wireless sensor networks (WSNs) for monitoring (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-AMS (Data Fusion - Average Median Sampling) for sampling and fusing data from the sensor nodes in the cluster to optimize the energy conservation of sensor nodes in clusters and cluster head node.
date: 2015-10
date_type: published
full_text_status: none
pres_type: paper
pagerange: 1-6
event_title: KSE: the 2015 International Conference on Knowledge and Systems Engineering
event_location: Ho Chi Minh city, Vietnam
event_dates: 8-10 October 2015
event_type: conference
refereed: TRUE
citation:   Duong, Viet Huy and Nguyen, Dinh Viet  (2015) DF-AMS: Proposed solutions for multi-sensor data fusion in wireless sensor networks.  In: KSE: the 2015 International Conference on Knowledge and Systems Engineering, 8-10 October 2015, Ho Chi Minh city, Vietnam.