Robust wireless sensor network performance analysis

Abstract — We show that a wireless sensor network system can be designed specifically for a set of complex deployment requirements and constraints. Among the design issues tackled are: low power design which copes with arctic winters and adaptive behaviour to cope with communications breakdowns. The...

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Main Authors: K. Martinez, P. Basford
Other Authors: The Pennsylvania State University CiteSeerX Archives
Format: Text
Language:English
Published: 2011
Subjects:
Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.369.9065
http://eprints.soton.ac.uk/272963/1/sensors11-paper-final.pdf
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spelling ftciteseerx:oai:CiteSeerX.psu:10.1.1.369.9065 2023-05-15T15:03:09+02:00 Robust wireless sensor network performance analysis K. Martinez P. Basford The Pennsylvania State University CiteSeerX Archives 2011 application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.369.9065 http://eprints.soton.ac.uk/272963/1/sensors11-paper-final.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.369.9065 http://eprints.soton.ac.uk/272963/1/sensors11-paper-final.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://eprints.soton.ac.uk/272963/1/sensors11-paper-final.pdf text 2011 ftciteseerx 2016-01-08T01:13:23Z Abstract — We show that a wireless sensor network system can be designed specifically for a set of complex deployment requirements and constraints. Among the design issues tackled are: low power design which copes with arctic winters and adaptive behaviour to cope with communications breakdowns. These techniques were implemented in a WSN deployment in Iceland in 2008 by the Glacsweb team. This paper shows how this has allowed base stations to survive the winter for the first time. Rather than scaling up the power sources to cope, the systems scale-back their activities, especially communications and dGPS sensing. Similarly instead of overdesigning the radio networks, disconnection periods were managed using large multi-level buffers. The overall success was increased by techniques introduced after the main deployment in 2008. The system is comprised of eight subglacial sensor nodes, connected to a base station on the glacier and a fixed reference station on the mountainside. I. Text Arctic glacier Iceland Unknown Arctic
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description Abstract — We show that a wireless sensor network system can be designed specifically for a set of complex deployment requirements and constraints. Among the design issues tackled are: low power design which copes with arctic winters and adaptive behaviour to cope with communications breakdowns. These techniques were implemented in a WSN deployment in Iceland in 2008 by the Glacsweb team. This paper shows how this has allowed base stations to survive the winter for the first time. Rather than scaling up the power sources to cope, the systems scale-back their activities, especially communications and dGPS sensing. Similarly instead of overdesigning the radio networks, disconnection periods were managed using large multi-level buffers. The overall success was increased by techniques introduced after the main deployment in 2008. The system is comprised of eight subglacial sensor nodes, connected to a base station on the glacier and a fixed reference station on the mountainside. I.
author2 The Pennsylvania State University CiteSeerX Archives
format Text
author K. Martinez
P. Basford
spellingShingle K. Martinez
P. Basford
Robust wireless sensor network performance analysis
author_facet K. Martinez
P. Basford
author_sort K. Martinez
title Robust wireless sensor network performance analysis
title_short Robust wireless sensor network performance analysis
title_full Robust wireless sensor network performance analysis
title_fullStr Robust wireless sensor network performance analysis
title_full_unstemmed Robust wireless sensor network performance analysis
title_sort robust wireless sensor network performance analysis
publishDate 2011
url http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.369.9065
http://eprints.soton.ac.uk/272963/1/sensors11-paper-final.pdf
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http://eprints.soton.ac.uk/272963/1/sensors11-paper-final.pdf
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