The role of wireless sensor networks (WSNs) in industrial oil and gas condition monitoring
dc.contributor.author | Akhondi, Mohammad Reza | |
dc.contributor.author | Talevski, Alex | |
dc.contributor.author | Carlsen, S. | |
dc.contributor.author | Petersen, S. | |
dc.contributor.editor | Leila Ismail | |
dc.contributor.editor | Elizabeth Chang | |
dc.contributor.editor | Achim P Karduck | |
dc.date.accessioned | 2017-01-30T13:20:32Z | |
dc.date.available | 2017-01-30T13:20:32Z | |
dc.date.created | 2011-02-15T00:34:45Z | |
dc.date.issued | 2010 | |
dc.identifier.citation | Akhondi, Mohammad Reza and Talevski, Alex and Carlsen, Simon and Petersen, Stig. 2010. The role of wireless sensor networks (WSNs) in industrial oil and gas condition monitoring, in Ismail, L. and Chang, E. and Karduck, A.P. (ed), IEEE international conference on digital ecosystems and technologies (DEST 2010), Apr 12 2010, pp. 618-623. Dubai, United Arab Emirates: IEEE. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/30613 | |
dc.identifier.doi | 10.1109/DEST.2010.5610584 | |
dc.description.abstract |
Wireless sensor networks have a vast amount of applications including environmental monitoring, military, ecology, agriculture, inventory control, robotics and health care. This paper focuses on the area of monitoring and protection of oil and gas operations using wireless sensor networks that are optimized to decrease installation, and maintenance cost, energy requirements, increase reliability and improve communication efficiency. In addition, simulation experiments using the proposed model are presented. Such models could provide new tools for research in predictive maintenance and condition-based monitoring of factory machinery in general and for “open architecture machining systems” in particular. Wireless sensing no longer needs to be relegated to locations where access is difficult or where cabling is not practical. Wireless condition monitoring systems can be cost effectively implemented in extensive applications that were historically handled by running routes with data collectors.The result would be a lower cost program with more frequent data collection, increased safety, and lower spare parts inventories. Facilities would be able to run leaner because they will have more confidence in their ability to avoid downtime. | |
dc.publisher | IEEE | |
dc.subject | addressing schemes | |
dc.subject | wireless networks | |
dc.subject | Ad hoc and sensor networks | |
dc.subject | routing | |
dc.title | The role of wireless sensor networks (WSNs) in industrial oil and gas condition monitoring | |
dc.type | Conference Paper | |
dcterms.source.startPage | 618 | |
dcterms.source.endPage | 623 | |
dcterms.source.title | Proceedings of the IEEE international conference on digital ecosystems and technologies (DEST 2010) | |
dcterms.source.series | Proceedings of the IEEE international conference on digital ecosystems and technologies (DEST 2010) | |
dcterms.source.isbn | 9781424455515 | |
dcterms.source.conference | IEEE international conference on digital ecosystems and technologies (DEST 2010) | |
dcterms.source.conference-start-date | Apr 12 2010 | |
dcterms.source.conferencelocation | Dubai, United Arab Emirates | |
dcterms.source.place | United Arab Emirates | |
curtin.note |
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curtin.department | Digital Ecosystems and Business Intelligence Institute (DEBII) | |
curtin.accessStatus | Open access |