Skip to main content

Protocol Design for Farm Animal Monitoring Using Simulation

  • Conference paper
Ad-hoc, Mobile, and Wireless Networks (ADHOC-NOW 2012)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 7363))

Included in the following conference series:

Abstract

This paper presents a new simulation tool for performance analysis of wireless sensor networks (WSN) deployed on farm animals. The mobility and herding patterns from real herds are fed into statistical models to give rise to network simulation that is based on accurate herd behavior. The simulation results are used in evaluation of novel protocol ideas customized to the needs of farm monitoring.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Wehrle, K., Gross, J.: Modeling and Tools for Network Simulation. Springer, Heidelberg (2010)

    Book  MATH  Google Scholar 

  2. Sundani, H., Li, H., Devabhaktuni, V.K., Alam, M., Bhattacharya, P.: Wireless Sensor Network Simulators: A Survey and Comparisons. International Journal of Computer Networks (IJCN) 2(6), 249–265 (2011)

    Google Scholar 

  3. Heinzelman, W.R., Chandrakasan, A., Balakrishnan, H.: Energy-efficient communication protocol for wireless microsensor networks. In: 33rd Annual Hawaii Int. Conf. on System Sciences, Hawaii (2000)

    Google Scholar 

  4. Hebden, P., et al.: Distributed Asynchronous Clustering for Self-Organisation of Wireless Sensor Networks. In: 4th Int. Conf. on Intelligent Sensing and Information Processing, Bangalore, India (2006)

    Google Scholar 

  5. Peng, W., Edwards, D.J.: K-Means Like Minimum Mean Distance Algorithm for Wireless Sensor Networks. In: 2nd International Conference on Computer Engineering and Technology, Chengdu, China (2010)

    Google Scholar 

  6. Tan, L., Gong, Y., et al.: A balanced parallel clustering protocol for wireless sensor networks using k-means techniques. In: SENSORCOMM 2008, France (2008)

    Google Scholar 

  7. Lindsey, S., Raghavendra, C.: PEGASIS: power efficient gathering in sensor information systems. In: IEEE Aerospace Conference, Big Sky, Montana, USA (2002)

    Google Scholar 

  8. Schurgers, C., Tsiatsis, V., Ganeriwal, S., Srivastava, M.: Optimizing sensor networks in the energy-latency-density design space. IEEE Transactions on Mobile Computing 1(1), 70–80 (2002)

    Article  Google Scholar 

  9. Ansari, J., Zhang, X., Mahonen, P.: Multi-radio Medium Access and Control Protocol for Wireless Sensor Networks. International Journal of Sensor Networks 8(1), 47–61 (2010)

    Google Scholar 

  10. Henderson, T., Lacage, M.: Network simulations with the ns-3 simulator. In: SIGCOMM Demonstration, Seattle, USA (2008)

    Google Scholar 

  11. Riley, G.F.: The Georgia Tech Network Simulator. In: ACM SIGCOMM Workshop on Models, Methods and Tools for Reproducible Network Research, Karlsruhe, Germany (2003)

    Google Scholar 

  12. Fall, K., Varadhan, K.: NS2 Manual, http://www.isi.edu/nsnam/ns/doc/index.html (accessed April 14, 2012)

  13. Levis, P., Lee, N., Welsh, M., Culler, D.: TOSSIM: accurate and scalable simulation of entire TinyOS applications. In: Proc. 1st Int. Conf. on Embedded Networked Sensor Systems (SenSys 2003), Los Angeles, USA (2003)

    Google Scholar 

  14. Shu, L., Hauswirth, M., Chao, H.C., Chen, M., Zhang, Y.: NetTopo: A framework of simulation and visualization for wireless sensor networks. Ad Hoc Networks 9(5), 799–820 (2011)

    Article  Google Scholar 

  15. Polley, J., Blazakis, D., McGee, J., Rusk, D., Baras, J.S.: ATEMU: A Fine-grained Sensor Network Simulator. In: IEEE SECON, Santa Clara, California, USA (2004)

    Google Scholar 

  16. Varga, A.: The OMNeT++ distrete event simulation system (1999), http://www.omnetpp.org/

  17. Kopke, et al.: Simulating wireless and mobile networks in omnet++: The mixim vision. In: First International OMNeT++ Developers Workshop, Marseille, France (2008)

    Google Scholar 

  18. Boulis, A.: Castalia, a simulator for wireless sensor networks and body area networks (May 2009), http://castalia.npc.nicta.com.au (accessed May 14, 2009)

  19. Guoa, Y., Poultona, G., et al.: Using accelerometer, high sample rate GPS and magnetometer data to develop a cattle movement and behaviour model. Ecological Modelling 220(17), 2068–2075 (2009)

    Article  Google Scholar 

  20. Kwong, K.H., Wu, T.-T., Goh, H.G., et al.: Practical considerations for wireless sensor networks in cattle monitoring applications. Computers and Electronics in Agriculture 81, 33–44 (2012)

    Article  Google Scholar 

  21. Kwong, K.H., Wu, T.T., Goh, H.G., Sasloglou, K., Stephen, B., Glover, I., Shen, C., Du, W., Michie, C., Andonovic, I.: Implementation of herd management systems with wireless sensor networks. IET Wireless Sensor Systems 1(2), 55–65 (2011)

    Article  Google Scholar 

  22. Cao, D., Wu, T., Goh, H.G., Stephen, B., Kwong, K., Michie, C., Andonovic, I.: Exploitation of Wireless Telemetry for Livestock Condition Monitoring. In: Canadian Society for Bioengineering (CSBE/SCGAB) CIGR, Qubec City (2010)

    Google Scholar 

  23. Majumder, J., Vassalos, D., Sarkar, S., Kim, H., Guarin, L., York, A., Dahlberg, T.: Simulation based planning of ferry terminal operations. In: Bertram, V. (ed.) Proceedings 6th International Conference on Computer and IT Applications in the Maritime Industries (COMPIT 2007), Cortona (2007)

    Google Scholar 

  24. Tcl developer site, http://www.tcl.tk/

  25. Stephen, B., Dwyer, C., Hyslop, J., Bell, M., Ross, D., Kwong, K., Michie, C., Andonovic, I.: Statistical Interaction Modeling of Bovine Herd Behaviors. IEEE Transactions on Systems, Man, and Cybernetics 41(6), 820–829 (2010)

    Google Scholar 

  26. Tombre, K., Lamiroy, B.: Graphics recognition - from re-engineering to retrieval. In: Proc. 7th Int. Conf. on Document Analysis and Recognition, Edinburgh, UK (2003)

    Google Scholar 

  27. R - an open source statistical computing platform and environment, http://www.r-project.org/

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Sarkar, S., Stankovic, L., Andonovic, I. (2012). Protocol Design for Farm Animal Monitoring Using Simulation. In: Li, XY., Papavassiliou, S., Ruehrup, S. (eds) Ad-hoc, Mobile, and Wireless Networks. ADHOC-NOW 2012. Lecture Notes in Computer Science, vol 7363. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31638-8_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-31638-8_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31637-1

  • Online ISBN: 978-3-642-31638-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics