Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Biological data transmission performance of virtual cattle feedlot sensor network

가상센서네트워크를 이용한 사육장 생체데이터 전송성능에 관한 연구

  • 강현중 (순천대학교 정보통신공학과) ;
  • 주휘동 (순천대학교 정보통신공학과) ;
  • 이명훈 (순천대학교 정보통신공학과) ;
  • 여현 (순천대학교 정보통신공학과)
  • Published : 2008.06.30
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Abstract

As sensor network technologies developed, the sphere field of application is escalated unfortunately, the applicable size is smaller than the actual quantity of cattle in feedlot. In this paper, we simulated and evaluated biological data transmission performance of virtual cattle feedlot. Deducted conclusions show us a more efficient cattle control scenario is required and effective routing protocol design and modification are needed.

센서네트워크 기술의 발전에 따라 그 활용 범위는 가축에까지 확대 되고 있는 추세이다. 그러나 대단위 가축에게 실시되기에는 비용이나, 효율 등에서 문제가 발생한다. 본 논문에서는 대단위로 가축의 생체 데이터 측정을 시뮬레이션을 통해 구현하였으며, 실제와 보다 유사하게 하기 위해 전파모델을 축사환경에 맞게 변경하여 시뮬레이션 하였다. 도출된 결론을 통해 축우 통제를 통한 수집 시나리오가 필요함을 알 수 있었고, 효과적인 라우팅 프로토콜의 수정도 필요함을 알 수 있었다.

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References

  1. RA Smith, 'Impact of disease on feedlot performance: a review', Journal of Animal Science, 1998 - animal-science.org
  2. Jim, G. K., C. W. Booker, C. S. Ribble, P. T. Guichon, and B. E. Thorlakson.,'A field investigation of the economic impact of respiratory disease in feedlot calves', Can. Vet. J. 34:668-673. 1993
  3. Wang, N., Zhang, N., & Wang, M.,'Wireless Sensors in agriculture and food industry?Recent development and future perspective', Computers and Electronics in Agriculture, 50, 1-14. 2005 https://doi.org/10.1016/j.compag.2005.09.003
  4. Nagl, L., Schmitz, R.,Warren, S., Hildreth, T.S., Erickson, H., Andresen, D.,'Wearable Sensor system for wireless state-of-health determination in cattle', Proceedings of the 25th IEEE EMBS Conference, Cancun, Mexico, September 17-21. 2003
  5. M. Radenkovic and B. Wietrzyk,'Wireless mobile ad-hoc Sensor networks for very large scale cattle monitoring', In Proc. of ASWN, Berlin, Germany, pp. 47-58, 2006
  6. K. Maatje, R. M. d. Mol, and W. Rossing,'Cow status monitoring (health and oestrus) using detection 센서s', Computers and Electronics in Agriculture, 16(3), pp. 245-254(10), 1997 https://doi.org/10.1016/S0168-1699(96)00052-X
  7. R.C Shah and J.M. Rabaey, 'Energy Aware Routing for Low Energy Ad Hoc Sensor Networks', IEEE WCNC 2002, Vol. 1, pp. 350-355, Mar 2002
  8. K. Fall, K. Varadhan: The ns Manual (formerly ns Notes and Documentation). The VINT Project, A Collaboration between researches at UC Berkeley, LBL, USC/ISI and Xerox PARC
  9. ES Nadimi, HT Srgaard, T Bak, FW Oudshoorn, 'ZigBee-based wireless sensor networks for monitoring animal presence and pasture time in a strip of new grass', Computers and Electronics in Agriculture, Elsevier, 2008
  10. P. Kreuzgruber, P. Unterberger, and R. Gahleitner,'A ray splitting model for indoor radio propagation associated with complex geometries', 43rd IEEE Veh. Technol. Conf. Secaucus, NJ, pp. 227-230, May 1993
  11. S Obayashi, J Zander,'A body-shadowing model for indoor radio communication environments', Antennas and Propagation, IEEE Transactions, pp. 920-927, 1998 https://doi.org/10.1109/8.686781
  12. MH Habaebi, E Abduljali, T Ragaibi, N Rhuma,' Effect of Sensor specific body location on wireless network routing performance', Electronics Letters, pp. 40-42, January 3, 2008
  13. C Perkins, P Bhagwat.,'Highly dynamic destination- sequenced distance-vector (dsdv) routing for mobile computers', Proceedings of ACM SIGCOMM, 1994
  14. C. Perkins, E. Royer, 'Ad hoc On demand Distance Vector Routing', in Proc. of 2nd IEEE Workshop on Mobile Computing Systems and Applications, February 1999
  15. D. Johnson, D. Maltz, D.,'Dynamic source routing in ad hoc wireless networks', in Mobile Computing (ed. T. Imielinski and H. Korth), Kluwer Academic Publishers, pp 153-181, The Netherlands, 1996 https://doi.org/10.1007/978-0-585-29603-6_5