WSN Evaluation in Industrial Environments: First results and lessons learned

Paulo José Carrilho de Sousa Gil; DEE Group Author

doi:10.1109/DCOSS.2011.5982178

WSN Evaluation in Industrial Environments: First results and lessons learned

Paulo José Carrilho de Sousa Gil, DEE Group Author

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

Abstract

The GINSENG project develops performance-controlled wireless sensor networks that can be used for time-critical applicationsinhostileenvironmentssuch asindustrialplant automationandcontrol. GINSENG aims at integrating wireless sensor networks with existing enterprise resource management solutions using a middleware. A cornerstone is theevaluationina challengingindustrialenvironment- an oil refineryinPortugal.Inthis paper wefirstpresent our testbed. Then we introduce our solution to access, debugandflash the sensor nodes remotely from an operations roominthe plant or from any location with internet access. We further present our experimental methodologyandshow some exemplaryresultsfrom the refinery testbed.

Original language	Unknown
Title of host publication	IEEE International Conference on Distributed Computing in Sensor Systems
Pages	1 - 8
ISBN (Electronic)	978-1-4577-0511-3
DOIs	https://doi.org/10.1109/DCOSS.2011.5982178
Publication status	Published - 1 Jan 2011
Event	7th IEEE International Conference on Distributed Computing in Sensor Systems - Duration: 1 Jan 2011 → …

Conference

Conference	7th IEEE International Conference on Distributed Computing in Sensor Systems
Period	1/01/11 → …

Access to Document

10.1109/DCOSS.2011.5982178

Cite this

@inproceedings{8238db00296f4a2aad65ce2ddb3e65f2,

title = "WSN Evaluation in Industrial Environments: First results and lessons learned",

abstract = "The GINSENG project develops performance-controlled wireless sensor networks that can be used for time-critical applicationsinhostileenvironmentssuch asindustrialplant automationandcontrol. GINSENG aims at integrating wireless sensor networks with existing enterprise resource management solutions using a middleware. A cornerstone is theevaluationina challengingindustrialenvironment- an oil refineryinPortugal.Inthis paper wefirstpresent our testbed. Then we introduce our solution to access, debugandflash the sensor nodes remotely from an operations roominthe plant or from any location with internet access. We further present our experimental methodologyandshow some exemplaryresultsfrom the refinery testbed.",

keywords = "internet access, middleware, industrial plant automation, GINSENG project, industrial plant control, wireless sensor networks, enterprise resource management solutions, oil refinery, WSN evaluation",

author = "Gil, {Paulo Jos{\'e} Carrilho de Sousa} and {DEE Group Author}",

year = "2011",

month = jan,

day = "1",

doi = "10.1109/DCOSS.2011.5982178",

language = "Unknown",

isbn = "978-1-4577-0513-7",

pages = "1 -- 8",

booktitle = "IEEE International Conference on Distributed Computing in Sensor Systems",

note = "null ; Conference date: 01-01-2011",

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AU - DEE Group Author

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N2 - The GINSENG project develops performance-controlled wireless sensor networks that can be used for time-critical applicationsinhostileenvironmentssuch asindustrialplant automationandcontrol. GINSENG aims at integrating wireless sensor networks with existing enterprise resource management solutions using a middleware. A cornerstone is theevaluationina challengingindustrialenvironment- an oil refineryinPortugal.Inthis paper wefirstpresent our testbed. Then we introduce our solution to access, debugandflash the sensor nodes remotely from an operations roominthe plant or from any location with internet access. We further present our experimental methodologyandshow some exemplaryresultsfrom the refinery testbed.

AB - The GINSENG project develops performance-controlled wireless sensor networks that can be used for time-critical applicationsinhostileenvironmentssuch asindustrialplant automationandcontrol. GINSENG aims at integrating wireless sensor networks with existing enterprise resource management solutions using a middleware. A cornerstone is theevaluationina challengingindustrialenvironment- an oil refineryinPortugal.Inthis paper wefirstpresent our testbed. Then we introduce our solution to access, debugandflash the sensor nodes remotely from an operations roominthe plant or from any location with internet access. We further present our experimental methodologyandshow some exemplaryresultsfrom the refinery testbed.

KW - internet access

KW - middleware

KW - industrial plant automation

KW - GINSENG project

KW - industrial plant control

KW - wireless sensor networks

KW - enterprise resource management solutions

KW - oil refinery

KW - WSN evaluation

U2 - 10.1109/DCOSS.2011.5982178

DO - 10.1109/DCOSS.2011.5982178

M3 - Conference contribution

SN - 978-1-4577-0513-7

SP - 1

EP - 8

BT - IEEE International Conference on Distributed Computing in Sensor Systems

Y2 - 1 January 2011

ER -