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dc.contributor.authorDyo, Vladimiren_GB
dc.contributor.authorYousef, Kharsimen_GB
dc.contributor.authorEllwood, Stephen A.en_GB
dc.contributor.authorMacdonald, David W.en_GB
dc.contributor.authorMarkham, Andrewen_GB
dc.contributor.authorMascolo, Ceciliaen_GB
dc.contributor.authorPásztor, Benceen_GB
dc.contributor.authorScellato, Salvatoreen_GB
dc.contributor.authorTrigoni, Nikien_GB
dc.contributor.authorWohlers, Ricklefen_GB
dc.date.accessioned2013-04-07T16:32:41Z
dc.date.available2013-04-07T16:32:41Z
dc.date.issued2010
dc.identifier.citationDyo, V.; Ellwood, S.; Macdonald, D.; Markham, A.; Mascolo, C.; Ṕasztor, B.; Scellato, S.; Trigoni, N.; Wohlers, R. and Yousef, K. (2010) 'Evolution and sustainability of a wildlife monitoring sensor network', Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems SenSys'10:127-140en_GB
dc.identifier.isbn9781450303446
dc.identifier.doi10.1145/1869983.1869997
dc.identifier.urihttp://hdl.handle.net/10547/279175
dc.description.abstractIn this paper, we report the findings from a one year deployment of an automated wildlife monitoring system for analyzing the social co-location patterns of European badgers (Meles meles) residing in a dense woodland environment. We describe the stages of its evolution cycle, from implementation, deployment and testing, to various iterations of software optimization, followed by hardware enhancements, which in turn triggered the need for further software optimization. We report preliminary descriptive analyses of a subset of the data collected, demonstrating the significant potential our system has to generate new insights into badger behavior. The main lessons learned were: the need to factor in the maintenance costs while designing the system; to look carefully at software and hardware interactions; the importance of a rapid initial prototype deployment (this was key to our success); and the need for continuous interaction with domain scientists which allows for unexpected optimizations.
dc.language.isoenen
dc.publisherACMen_GB
dc.relation.urlhttp://portal.acm.org/citation.cfm?doid=1869983.1869997en_GB
dc.subjectwireless sensor networksen_GB
dc.subjectRFID technologyen_GB
dc.subjectin-network storageen_GB
dc.titleEvolution and sustainability of a wildlife monitoring sensor networken
dc.typeConference papers, meetings and proceedingsen
html.description.abstractIn this paper, we report the findings from a one year deployment of an automated wildlife monitoring system for analyzing the social co-location patterns of European badgers (Meles meles) residing in a dense woodland environment. We describe the stages of its evolution cycle, from implementation, deployment and testing, to various iterations of software optimization, followed by hardware enhancements, which in turn triggered the need for further software optimization. We report preliminary descriptive analyses of a subset of the data collected, demonstrating the significant potential our system has to generate new insights into badger behavior. The main lessons learned were: the need to factor in the maintenance costs while designing the system; to look carefully at software and hardware interactions; the importance of a rapid initial prototype deployment (this was key to our success); and the need for continuous interaction with domain scientists which allows for unexpected optimizations.


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