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A raspberry Pi sensor network for wildlife conservation

Published: 21 September 2020 Publication History

Abstract

Scientists and the military require inconspicuous means to monitor wildlife. In this poster, we progress the ability for a Raspberry Pi sensor network to be used for wildlife detection and monitoring. Eliminating the need for expensive commercial camera traps, the sensor network will, with little to no human interaction, detect and collect vital information about the presence of endangered wildlife. Raspberry Pi sensor nodes collect and store data and transfer it over a mesh network to an android app interface. In order to reduce the node size and maintain battery efficiency, we are implementing parallel battery usage and standard lithium batteries. We will also increase the range, durability, and adaptability of the network by integrating a self-healing mesh network that does not require a master node for communication to and from individual sensors.

References

[1]
Andrés Alejos, Matthew Ball, Connor Eckert, Michael Ma, Hayden Ward, Peter Hanlon, and Suzanne J. Matthews. 2018. Exploring the Raspberry Pi for Data Summarization in Wireless Sensor Networks: Poster. In Proceedings of the 5th Annual Symposium and Bootcamp on Hot Topics in the Science of Security (HoTSoS '18). ACM, Article 18, 1 pages.
[2]
Brian H. Curtin, Rachelle H. David, Emmet D. Dunham, Cullen D. Johnson, Nikhil Shyamkumar, Thomas A. Babbitt, and Suzanne J. Matthews. 2019. Designing a Raspberry Pi Sensor Network for Remote Observation of Wildlife. In Proceedings of the 6th Annual Symposium on Hot Topics in the Science of Security (HotSoS '19). Association for Computing Machinery, New York, NY, USA, Article Article 17, 2 pages.
[3]
David Doxford and Alan Judd. 2002. Army training: the environmental gains resulting from the adoption of alternatives to traditional training methods. Journal of Environmental Planning and Management 45, 2 (2002), 245--265.
[4]
Michael J Lawrence, Holly LJ Stemberger, Aaron J Zolderdo, Daniel P Struthers, and Steven J Cooke. 2015. The effects of modern war and military activities on biodiversity and the environment. Environmental Reviews 23, 4 (2015), 443--460.
[5]
Jay Price. 2016. Military Bases Serve As Safe Haven For Endangered Species. Retrieved January 22, 2020 from https://www.npr.org/2016/09/15/494127912/military-bases-serve-as-safe-haven-for-endangered-species
[6]
Raspberry Pi Foundation. 2017. Raspberry Pi Zero W. https://www.raspberrypi.org/products/raspberry-pi-zero-w/
[7]
Robert J. Steidl and Brian F. Powell. 2006. Assessing the Effects of Human Activities on Wildlife. The George Wright Forum 23, 2 (2006), 50--58. http://www.jstor.org/stable/43598938
[8]
Urlgrey. 2017. urlgrey/hsmm-pi. https://github.com/urlgrey/hsmm-pi

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Published In

cover image ACM Other conferences
HotSoS '20: Proceedings of the 7th Symposium on Hot Topics in the Science of Security
September 2020
189 pages
ISBN:9781450375610
DOI:10.1145/3384217
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 September 2020

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Author Tags

  1. battery optimization
  2. conservation
  3. mesh network
  4. raspberry Pi

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  • Poster

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HotSoS '20
HotSoS '20: Hot Topics in the Science of Security
September 21 - 23, 2020
Kansas, Lawrence

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Overall Acceptance Rate 34 of 60 submissions, 57%

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