Wireless Sensor Networks for Swift Bird Farms Monitoring

This paper provides an in-depth study of Wireless Sensor Network (WSN) application to monitor and control the swift habitat. A set of system is designed and developed which includes the node's hardware, GUI software, sensor network, and interconnectivity for remote data access and management. S...

Full description

Saved in:
Bibliographic Details
Main Authors: Othman, A.K., Lee, K.M., Zen, H., Wan Zainal Abidin, W.A, Sabri, M.F.M.
Format: E-Article
Language:English
Published: IEEE 2009
Subjects:
Online Access:http://ir.unimas.my/id/eprint/16290/1/Wireless%20Sensor%20Networks%20for%20Swift%20Bird%20Farms%20%28abstract%29.pdf
http://ir.unimas.my/id/eprint/16290/
http://ieeexplore.ieee.org/document/5345571/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.unimas.ir.16290
record_format eprints
spelling my.unimas.ir.162902017-05-17T07:40:08Z http://ir.unimas.my/id/eprint/16290/ Wireless Sensor Networks for Swift Bird Farms Monitoring Othman, A.K. Lee, K.M. Zen, H. Wan Zainal Abidin, W.A Sabri, M.F.M. TK Electrical engineering. Electronics Nuclear engineering This paper provides an in-depth study of Wireless Sensor Network (WSN) application to monitor and control the swift habitat. A set of system is designed and developed which includes the node's hardware, GUI software, sensor network, and interconnectivity for remote data access and management. System architecture is proposed to address the requirements for habitat monitoring. The application driven designed, provides and identifies important areas of work in data sampling, communications and networking. In this monitoring system, a sensor node (MTS400), IRIS and Micaz radio transceivers, and a USB interfaced gateway base station of Crossbow (Xbow) Technology WSN are employed. The Graphical User Interface (GUI) is written using a Laboratory Virtual Instrumentation Engineering Workbench (LabVIEW) along with Xbow Technology drivers provided by National Instrument. This monitoring system is capable of collecting data and presents it in both tables and waveform charts for further analysis. This system is also able to send notification messages by e-mail, whenever changes on the swift habitat at remote sites (swift farms) occur, via the Internet connectivity. Other functions that have been implemented in this system are the database system for record and management purposes; remote access through the internet using LogMeIn software. Finally, this research draws a conclusion that a wireless sensor network for monitoring swift habitat can be effectively used to monitor and manage swift farming industry in Sarawak. IEEE 2009 E-Article PeerReviewed text en http://ir.unimas.my/id/eprint/16290/1/Wireless%20Sensor%20Networks%20for%20Swift%20Bird%20Farms%20%28abstract%29.pdf Othman, A.K. and Lee, K.M. and Zen, H. and Wan Zainal Abidin, W.A and Sabri, M.F.M. (2009) Wireless Sensor Networks for Swift Bird Farms Monitoring. ICUMT '09. International Conference on Ultra Modern Telecommunications & Workshops, 2009. ISSN 2157-023X (online) http://ieeexplore.ieee.org/document/5345571/ DOI: 10.1109/ICUMT.2009.5345571
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Othman, A.K.
Lee, K.M.
Zen, H.
Wan Zainal Abidin, W.A
Sabri, M.F.M.
Wireless Sensor Networks for Swift Bird Farms Monitoring
description This paper provides an in-depth study of Wireless Sensor Network (WSN) application to monitor and control the swift habitat. A set of system is designed and developed which includes the node's hardware, GUI software, sensor network, and interconnectivity for remote data access and management. System architecture is proposed to address the requirements for habitat monitoring. The application driven designed, provides and identifies important areas of work in data sampling, communications and networking. In this monitoring system, a sensor node (MTS400), IRIS and Micaz radio transceivers, and a USB interfaced gateway base station of Crossbow (Xbow) Technology WSN are employed. The Graphical User Interface (GUI) is written using a Laboratory Virtual Instrumentation Engineering Workbench (LabVIEW) along with Xbow Technology drivers provided by National Instrument. This monitoring system is capable of collecting data and presents it in both tables and waveform charts for further analysis. This system is also able to send notification messages by e-mail, whenever changes on the swift habitat at remote sites (swift farms) occur, via the Internet connectivity. Other functions that have been implemented in this system are the database system for record and management purposes; remote access through the internet using LogMeIn software. Finally, this research draws a conclusion that a wireless sensor network for monitoring swift habitat can be effectively used to monitor and manage swift farming industry in Sarawak.
format E-Article
author Othman, A.K.
Lee, K.M.
Zen, H.
Wan Zainal Abidin, W.A
Sabri, M.F.M.
author_facet Othman, A.K.
Lee, K.M.
Zen, H.
Wan Zainal Abidin, W.A
Sabri, M.F.M.
author_sort Othman, A.K.
title Wireless Sensor Networks for Swift Bird Farms Monitoring
title_short Wireless Sensor Networks for Swift Bird Farms Monitoring
title_full Wireless Sensor Networks for Swift Bird Farms Monitoring
title_fullStr Wireless Sensor Networks for Swift Bird Farms Monitoring
title_full_unstemmed Wireless Sensor Networks for Swift Bird Farms Monitoring
title_sort wireless sensor networks for swift bird farms monitoring
publisher IEEE
publishDate 2009
url http://ir.unimas.my/id/eprint/16290/1/Wireless%20Sensor%20Networks%20for%20Swift%20Bird%20Farms%20%28abstract%29.pdf
http://ir.unimas.my/id/eprint/16290/
http://ieeexplore.ieee.org/document/5345571/
_version_ 1644512336870899712
score 13.211869