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Evolution and sustainability of a wildlife monitoring sensor network

  • Vladimir Dyo
    ,
  • Stephen A. Ellwood
    ,
  • David W. Macdonald
    ,
  • Andrew Markham
    ,
  • Cecilia Mascolo
    ,
  • Bence Pásztor
  • University of Oxford
    ,
  • University of Cambridge
Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
 Peer-review

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.

Publication Information

Output type

Research Output:
Chapter in Book/Report/Conference proceeding
Conference contribution
 Peer-review

Original language

English

Publication milestones

  • Published - 01/01/2010

Publication status

Published - 01/01/2010

Publisher

Association for Computing Machinery, United States

ISBN (Print)

9781450303446

ISBN (Electronic)

9781450303446

Publication IDs

  • handle.net: 10547/279175
  • Scopus: 78650901972

Host publication title

nan

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