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    Evolution and sustainability of a wildlife monitoring sensor network

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    Authors
    Dyo, Vladimir
    Yousef, Kharsim
    Ellwood, Stephen A.
    Macdonald, David W.
    Markham, Andrew
    Mascolo, Cecilia
    Pásztor, Bence
    Scellato, Salvatore
    Trigoni, Niki
    Wohlers, Ricklef
    Issue Date
    2010
    Subjects
    wireless sensor networks
    RFID technology
    in-network storage
    
    Metadata
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    Abstract
    In 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.
    Citation
    Dyo, 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'10:127-140
    Publisher
    ACM
    URI
    http://hdl.handle.net/10547/279175
    DOI
    10.1145/1869983.1869997
    Additional Links
    http://portal.acm.org/citation.cfm?doid=1869983.1869997
    Type
    Conference papers, meetings and proceedings
    Language
    en
    ISBN
    9781450303446
    ae974a485f413a2113503eed53cd6c53
    10.1145/1869983.1869997
    Scopus Count
    Collections
    Centre for Computer Graphics and Visualisation (CCGV)

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