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The design and evaluation of a mobile sensor/actuator network for autonomous animal control
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Information Processing In Sensor Networks archive
Proceedings of the 6th international conference on Information processing in sensor networks table of contents
Cambridge, Massachusetts, USA
SESSION: Applications table of contents
Pages: 206 - 215  
Year of Publication: 2007
ISBN:978-1-59593-638-X
Authors
Tim Wark  Autonomous Systems Laboratory, CSIRO ICT Centre, Brisbane, Australia and Food Futures Flagship, CSIRO, Australia
Chris Crossman  Autonomous Systems Laboratory, CSIRO ICT Centre, Brisbane, Australia and Food Futures Flagship, CSIRO, Australia
Wen Hu  Autonomous Systems Laboratory, CSIRO ICT Centre, Brisbane, Australia and Food Futures Flagship, CSIRO, Australia
Ying Guo  Autonomous Systems Laboratory, CSIRO ICT Centre, Brisbane, Australia and Food Futures Flagship, CSIRO, Australia
Philip Valencia  Autonomous Systems Laboratory, CSIRO ICT Centre, Brisbane, Australia and Food Futures Flagship, CSIRO, Australia
Pavan Sikka  Autonomous Systems Laboratory, CSIRO ICT Centre, Brisbane, Australia and Food Futures Flagship, CSIRO, Australia
Peter Corke  Autonomous Systems Laboratory, CSIRO ICT Centre, Brisbane, Australia and Food Futures Flagship, CSIRO, Australia
Caroline Lee  FD McMaster Laboratory, CSIRO Livestock Industries, Armidale, Australia and Food Futures Flagship, CSIRO, Australia
John Henshall  FD McMaster Laboratory, CSIRO Livestock Industries, Armidale, Australia and Food Futures Flagship, CSIRO, Australia
Kishore Prayaga  FD McMaster Laboratory, CSIRO Livestock Industries, Armidale, Australia and Food Futures Flagship, CSIRO, Australia
Julian O'Grady  FD McMaster Laboratory, CSIRO Livestock Industries, Armidale, Australia and Food Futures Flagship, CSIRO, Australia
Matt Reed  FD McMaster Laboratory, CSIRO Livestock Industries, Armidale, Australia and Food Futures Flagship, CSIRO, Australia
Andrew Fisher  FD McMaster Laboratory, CSIRO Livestock Industries, Armidale, Australia and Food Futures Flagship, CSIRO, Australia
Sponsors
ACM: Association for Computing Machinery
SIGBED: ACM Special Interest Group on Embedded Systems
Publisher
ACM  New York, NY, USA
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ABSTRACT

This paper investigates a mobile, wireless sensor/actuator network application for use in the cattle breeding industry. Our goal is to prevent fighting between bulls in on-farm breeding paddocks by autonomously applying appropriate stimuli when one bull approaches another bull. This is an important application because fighting between high-value animals such as bulls during breeding seasons causes significant financial loss to producers. Furthermore, there are significant challenges in this type of application because it requires dynamic animal state estimation, real-time actuation and efficient mobile wireless transmissions. We designed and implemented an animal state estimation algorithm based on a state-machine mechanism for each animal. Autonomous actuation is performed based on the estimated states of an animal relative to other animals. A simple, yet effective, wireless communication model has been proposed and implemented to achieve high delivery rates in mobile environments. We evaluated the performance of our design by both simulations and field experiments, which demonstrated the effectiveness of our autonomous animal control system.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Tim Wark: colleagues
Chris Crossman: colleagues
Wen Hu: colleagues
Ying Guo: colleagues
Philip Valencia: colleagues
Pavan Sikka: colleagues
Peter Corke: colleagues
Caroline Lee: colleagues
John Henshall: colleagues
Kishore Prayaga: colleagues
Julian O'Grady: colleagues
Matt Reed: colleagues
Andrew Fisher: colleagues