Skip to main content

Modelling the Performance of a WSN with Regard to the Physical Features Exhibited by the Network

  • Conference paper
Internet and Distributed Computing Systems (IDCS 2014)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8729))

Included in the following conference series:

Abstract

Wireless Sensor Networks(WSNs) have matured to a point where they present a realistic technology for monitoring non critical systems in industrial, office and domestic environments. This in turn will lead to an increased number of applications using WSN technology, each requiring a unique response from the underlying network. Due to the nature of WSN communications these different network requirements are achieved using a variety of communication tools. With ever increasing number and complexity of tools available it becomes difficult to choose which tool is best suited for an application in a given deployment.

In this paper we introduce a procedure to model the WSN network based on its physical features with the aim to give insight into the best solution for a particular deployment. We determine how each physical feature effects the ability of a communication solution to provide a quality of service for an application. We build a model of the network based on these physical features. The model is then tested to determine if it can be effectively used to compare communication solutions. We examine the model, built on simulation data, using three network solutions each based on the RPL routing protocol. Each solution differs in choice of routing metric with ETX, ETX-NH and ETT used in the comparisons. Each solution is tested over a range of physical characteristics which describe a network.

This work is supported by Science Foundation Ireland under grant 07/CE/I1147. The authors would like to thank the reviwers for their insightful comments.

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. Chiasserini, C.F., Garetto, M.: Modeling the performance of wireless sensor networks. In: INFOCOM 2004. Twenty-third AnnualJoint Conference of the IEEE Computer and Communications Societies, vol. 1, p. 231 (March 2004)

    Google Scholar 

  2. De Couto, D.S.J., Aguayo, D., Bicket, J., Morris, R.: A high-throughput path metric for multi-hop wireless routing. In: Proceedings of the 9th Annual International Conference on Mobile Computing and Networking, MobiCom 2003, pp. 134–146. ACM, New York (2003)

    Google Scholar 

  3. Dearle, A., Balasubramaniam, D., Lewis, J., Morrison, R.: A component-based model and language for wireless sensor network applications. In: 32nd Annual IEEE International Computer Software and Applications, COMPSAC 2008, pp. 1303–1308 (July 2008)

    Google Scholar 

  4. Delaney, D.T., Higgs, R., O’Hare, G.M.P.: A stable routing framework for tree-based routing structures in wsns. IEEE Sensors Journal PP(99), 1–15 (2014)

    Google Scholar 

  5. Delaney, D.T., O’Hare, G.M.P., Ruzzelli, A.G.: Evaluation of energy-efficiency in lighting systems using sensor networks. In: BuildSys 2009, pp. 61–66. ACM, New York (2009)

    Google Scholar 

  6. Delaney, D.T., Xu, L., O’Hare, G.M.P.: Spreading the load in a tree type routing structure. In: Proceedings of the IEEE 22nd International Conference on Computer Communications and Networks (ICCCN 2013). IEEE (2013)

    Google Scholar 

  7. Diaz, M., Garrido, D., Llopis, L., Rubio, B., Troya, J.: A component framework for wireless sensor and actor networks. In: IEEE Conference on Emerging Technologies and Factory Automation, ETFA 2006, pp. 300–307 (September 2006)

    Google Scholar 

  8. Dietterle, D., Ryman, J., Dombrowski, K., Kraemer, R.: Mapping of high-level sdl models to efficient implementations for tinyos. In: Euromicro Symposium on Digital System Design, DSD 2004, pp. 402–406 (August 2004)

    Google Scholar 

  9. Draves, R., Padhye, J., Zill, B.: Routing in multi-radio, multi-hop wireless mesh networks. In: Proceedings of the 10th Annual International Conference on Mobile Computing and Networking, MobiCom 2004, pp. 114–128. ACM, New York (2004), http://doi.acm.org/10.1145/1023720.1023732

    Google Scholar 

  10. Dunkels, A., Österlind, F., He, Z.: An adaptive communication architecture for wireless sensor networks. In: Proceedings of the 5th International Conference on Embedded Networked Sensor Systems, SenSys 2007, pp. 335–349. ACM Press, New York (2007), http://doi.acm.org/10.1145/1322263.1322295

    Google Scholar 

  11. Furtado, H., Trobec, R.: Applications of wireless sensors in medicine. In: MIPRO, 2011 Proceedings of the 34th International Convention, pp. 257–261 (May 2011)

    Google Scholar 

  12. Kamthe, A., Carreira-Perpiñán, M.A., Cerpa, A.E.: M&M: multi-level Markov model for wireless link simulations. In: Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems, SenSys 2009, pp. 57–70. ACM, New York (2009)

    Google Scholar 

  13. Khalil Jacoub, J., Liscano, R., Bradbury, J.: A survey of modeling techniques for wireless sensor networks. In: SENSORCOMM 2011, The Fifth International Conference on Sensor Technologies and Applications, pp. 103–109 (2011)

    Google Scholar 

  14. Mozumdar, M.M.R., Gregoretti, F., Lavagno, L., Vanzago, L., Olivieri, S.: A framework for modeling, simulation and automatic code generation of sensor network application. In: 5th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2008, pp. 515–522 (June 2008)

    Google Scholar 

  15. Pearson, K.: Mathematical contributions to the theory of evolution. iii. regression, heredity, and panmixia. Philosophical Transactions of the Royal Society of London. Series A, Containing Papers of a Mathematical or Physical Character 187, 253–318 (1896), http://www.jstor.org/stable/90707

    Article  MATH  Google Scholar 

  16. R Core Team: R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria (2013), http://www.R-project.org/ , ISBN 3-900051-07-0

  17. Rubio, B., Diaz, M., Troya, J.M.: Programming approaches and challenges for wireless sensor networks. In: International Conference on Systems and Networks Communication, p. 36 (2007)

    Google Scholar 

  18. Song, J., Han, S., Mok, A., Chen, D., Lucas, M., Nixon, M.: Wirelesshart: Applying wireless technology in real-time industrial process control. In: Real-Time and Embedded Technology and Applications Symposium, RTAS 2008, pp. 377–386. IEEE (2008)

    Google Scholar 

  19. Vasilevski, M., Beilleau, N., Aboushady, H., Pecheux, F.: Efficient and refined modeling of wireless sensor network nodes using systemc-ams. In: Research in Microelectronics and Electronics, PRIME 2008. Ph.D, pp. 81–84 (June 2008)

    Google Scholar 

  20. Winter, et al.: RPL: Ipv6 routing protocol for low power and lossy networks. Tech. rep., IETF-ROLL (2012)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Delaney, D.T., O’Hare, G.M.P. (2014). Modelling the Performance of a WSN with Regard to the Physical Features Exhibited by the Network. In: Fortino, G., Di Fatta, G., Li, W., Ochoa, S., Cuzzocrea, A., Pathan, M. (eds) Internet and Distributed Computing Systems. IDCS 2014. Lecture Notes in Computer Science, vol 8729. Springer, Cham. https://doi.org/10.1007/978-3-319-11692-1_27

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-11692-1_27

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11691-4

  • Online ISBN: 978-3-319-11692-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics