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Ownership Identification of Reindeer Calf Using Wireless Sensor Networks (WSN)

Received: 12 July 2015     Accepted: 22 July 2015     Published: 11 August 2015
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Abstract

This paper presents a technique for identifying the ownership of new-born reindeer claves using wireless sensor networks (WSNs), which is an important tool that can be used to acquire useful information about animals’ activities and movements. Reindeer are semi wild and they give birth while in the wild. Although reindeer cows usually carry identification tags or signs of their owners, it is difficult to identify the ownership of the calves within a mixed herd. Currently, identification is performed in the traditional way which is stressful on both animals and herders and quite costly and time consuming. Various potential WSN technologies are considered in this work with special attention paid to RFID tags and subsequently, a method based on Wi-Fi enabled RFID tags is proposed. Localization techniques play an important role in the proposed method, hence localization algorithms are discussed thoroughly. This work aims to pave the way for the use of wireless sensor networks for the purpose of matching mother reindeer to their calves and for other matching purposes in animal welfare and industry

Published in Communications (Volume 3, Issue 3)
DOI 10.11648/j.com.20150303.11
Page(s) 56-62
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Wireless Sensor Networks (WSN), Reindeer Herding, RFID Tag, Distance Estimation, Localization, Animal Tracking, Wi-Fi-enabled RFID

References
[1] The International Centre for Reindeer Husbandry (ICR), “Reindeer herding,” 2015. [Online]. Available: http://reindeerherding.org/about-us/. [Accessed 19 July 2015].
[2] R. Paine, “Herds of the Tundra: A portrait of Sami Reindeer Pastoralism,” Smithsonian Institution Press, 1994.
[3] N. J. C. Tyler, J. M. Turi, et al, “Saami reindeer pastoralism under climate change: Applying a generalized framework for vulnerability studies to a sub-arctic social-ecological system,” Global Environmental Change, vol. 17, pp. 191-206, 2007.
[4] Mustafa, M., Hansen, I. & Eilertsen, S., “2013. Animal Sensor Networks: Animal Welfare under Arctic Conditions,” in SENSORCOMM 2013: The Seventh International Conference on Sensor Technologies ans Application, Barcelona, 2013.
[5] Mustafa, M., Hansen, I., Eilertsen, S., Pettersen, E. & Kronen, A., “Matching Mother and Calf Reindeer Using Wireless Sensor Networks.,” in 2013 5th International Conference on Computer Science and Information Technology (CSIT 2013), IEEE Conference procee, Amman, Jordan, 2013.
[6] Vishwas Raj Jain, Ravi Bagree, Aman Kumar and Prabhat Ranjan, “wildCENSE: GPS based Animal Tracking System,” in ISSNIP, 2008.
[7] Kwong, K. H., T. T. Wu, et al., “Practical considerations for wireless sensor networks in cattle monitoring applications,” Computer and Electronics in Agriculture, vol. 81, pp. 33-44, 2012.
[8] R. Want, “An introduction to RFID technology,” IEEE Pervasive Computing, vol. 5, no. 1, pp. 25-33, 2006.
[9] Bouet, M. and A. L. d. Santos, “RFID Tags: Positioning Principles and Localization Techniques,” in Wireless Days, WD '08. 1st IFIP IEEE, Dubai, 2008.
[10] Hassan, T. and S. Chatterjee, “A taxonomy for RFID,” in HICSS, 2006.
[11] Kealy, A., B. Li, et al., “Evaluation of wifi technologies for indoor positioning Applications,” in Surveying & Spatial Sciences Institute Biennial International Conference, 2009.
[12] Fine, C., N. Klym, et al., “The Evolution of RFID Networks,” M. Sloan School of Management, 2006. [Online]. Available: http://ebusiness.mit.edu. [Accessed 2015].
[13] Guolin, S. and C. Jie, et al., “Signal processing techniques in network-aided positioning: a survey of state-of-the-art positioning designs,” IEEE Signal Processing Magazine, vol. 22, no. 4, pp. 12-23, 2005.
[14] Sayed, A. H. and A. Tarighat, et al, “Network-based wireless location: challenges faced in developing techniques for accurate wireless location information,” IEEE Signal Processing Magazine, vol. 22, no. 4, pp. 24-40, 2005.
[15] Mao, G. and B. Fidan, et al., “Wireless sensor network localization techniques,” Computer Networks, vol. 51, no. 10, pp. 2529-2553, 2007.
[16] T. Rappaport, Wireless Communications: Principles and Practice, Upper Saddle River, NJ, USA: Prentice Hall PTR, 2001.
Cite This Article
  • APA Style

    Mohamad Y. Mustafa. (2015). Ownership Identification of Reindeer Calf Using Wireless Sensor Networks (WSN). Communications, 3(3), 56-62. https://doi.org/10.11648/j.com.20150303.11

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    ACS Style

    Mohamad Y. Mustafa. Ownership Identification of Reindeer Calf Using Wireless Sensor Networks (WSN). Communications. 2015, 3(3), 56-62. doi: 10.11648/j.com.20150303.11

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    AMA Style

    Mohamad Y. Mustafa. Ownership Identification of Reindeer Calf Using Wireless Sensor Networks (WSN). Communications. 2015;3(3):56-62. doi: 10.11648/j.com.20150303.11

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  • @article{10.11648/j.com.20150303.11,
      author = {Mohamad Y. Mustafa},
      title = {Ownership Identification of Reindeer Calf Using Wireless Sensor Networks (WSN)},
      journal = {Communications},
      volume = {3},
      number = {3},
      pages = {56-62},
      doi = {10.11648/j.com.20150303.11},
      url = {https://doi.org/10.11648/j.com.20150303.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.com.20150303.11},
      abstract = {This paper presents a technique for identifying the ownership of new-born reindeer claves using wireless sensor networks (WSNs), which is an important tool that can be used to acquire useful information about animals’ activities and movements. Reindeer are semi wild and they give birth while in the wild. Although reindeer cows usually carry identification tags or signs of their owners, it is difficult to identify the ownership of the calves within a mixed herd. Currently, identification is performed in the traditional way which is stressful on both animals and herders and quite costly and time consuming. Various potential WSN technologies are considered in this work with special attention paid to RFID tags and subsequently, a method based on Wi-Fi enabled RFID tags is proposed. Localization techniques play an important role in the proposed method, hence localization algorithms are discussed thoroughly. This work aims to pave the way for the use of wireless sensor networks for the purpose of matching mother reindeer to their calves and for other matching purposes in animal welfare and industry},
     year = {2015}
    }
    

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    T1  - Ownership Identification of Reindeer Calf Using Wireless Sensor Networks (WSN)
    AU  - Mohamad Y. Mustafa
    Y1  - 2015/08/11
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    AB  - This paper presents a technique for identifying the ownership of new-born reindeer claves using wireless sensor networks (WSNs), which is an important tool that can be used to acquire useful information about animals’ activities and movements. Reindeer are semi wild and they give birth while in the wild. Although reindeer cows usually carry identification tags or signs of their owners, it is difficult to identify the ownership of the calves within a mixed herd. Currently, identification is performed in the traditional way which is stressful on both animals and herders and quite costly and time consuming. Various potential WSN technologies are considered in this work with special attention paid to RFID tags and subsequently, a method based on Wi-Fi enabled RFID tags is proposed. Localization techniques play an important role in the proposed method, hence localization algorithms are discussed thoroughly. This work aims to pave the way for the use of wireless sensor networks for the purpose of matching mother reindeer to their calves and for other matching purposes in animal welfare and industry
    VL  - 3
    IS  - 3
    ER  - 

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Author Information
  • Department of Technology, Narvik University College, 8505 Narvik, Norway

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