Skip to main content

Improving Wireless Sensor Networks Robustness through Multi-level Fault Tolerant Routing Protocol

  • Chapter
Modeling Approaches and Algorithms for Advanced Computer Applications

Part of the book series: Studies in Computational Intelligence ((SCI,volume 488))

  • 1433 Accesses

Abstract

Wireless Sensor Networks (WSN) are now commonly admitted as a promising networking paradigm bringing huge benefits in industrial and socio-economical domains. However, although the applications dedicated to WSNs are in constant increase and research activities are intensely carried on, WSNs remain hindered by some weaknesses and lacks preventing them to reach their full maturity. These lacks may be seen even in basic WSN services like data routing in which energy optimization, data security, fault tolerant nodes, etc, have to be improved. So, we are dealing with the fault tolerance issue of routing protocols in order to dependably ensure data forwarding from nodes to sink. This is indispensable for a WSN to successfully accomplish its mission.

In this paper, we propose an energy economical and Fault Tolerant Multilevel Routing Protocol, borrowing idea from the well known TEEN and LEACH protocols. Simulation results via NS2 simulator showed convincing and interesting protocol performances.

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover 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. Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., Cayirci, E.: A survey on sensor networks. IEEE Communications Magazine 40(8), 102–114 (2002)

    Article  Google Scholar 

  2. Gupta, G.: Fault-tolerant clustering of wireless sensor networks. In: IEEE international Conference on Wireless Communications and Networking, WCNC 2003, March 20, pp. 1579–1584. IEEE (2003)

    Google Scholar 

  3. Min, H., Jung, J., Kim, B., Cho, Y., Heo, J., Yi, S., Hong, J.: A Smart Checkpointing Scheme for Improving the Reliability of Clustering Routing Protocols. Sensors 10, 8938–8952 (2010)

    Article  Google Scholar 

  4. Abbasi, A.A., Younis, M.: A survey on clustering algorithms for wireless sensor networks. Comput. Commun. 30, 2826–2841 (2007)

    Article  Google Scholar 

  5. Aliouat, Z., Aliouat, M.: Effective Energy Management in Routing Protocol for Wireless Sensor Networks. In: Proc. IEEE/IFIP 5th International Conference on New Technologies, Mobility and Security (NTMS), Istanbul Turkey, pp. 1–5 (2012)

    Google Scholar 

  6. Liu, X.: A Survey on Clustering Routing Protocols in Wireless Sensor Networks. Sensors 12, 11113–11153 (2012)

    Article  Google Scholar 

  7. Heinzelman, W.R., Chandrakasan, A., Balakrishnan, H.: Energy-Efficient Communication Protocol for Wireless Microsensor Networks. In: Proceedings of the 33rd Annual Hawaii Int. Conf. on System Sciences, Maui, HI, USA, January 4-7, pp. 10–19 (2000)

    Google Scholar 

  8. Manjeshwar, E., Agrawal, D.P.: TEEN: A Routing Protocol for Enhanced Efficiency in Wireless Sensor Networks. In: Proceedings of the 15th International Parallel and Distributed Processing Symposium (IPDPS), San Francisco, CA, USA, April 23-27, pp. 2009–2015 (2001)

    Google Scholar 

  9. Al-Karaki, J.N., Kamal, A.E.: Routing techniques in wireless sensor networks: a survey. IEEE Wireless Communications 11(6), 6–28 (2004)

    Article  Google Scholar 

  10. Xinfang, Y., Jiangtao, X., Chicharo, J.F., Yanguang, Y.: An Energy-Aware Multilevel Clustering algorithm for wireless sensor networks. Proc. of Intelligent Sensors, Sensor Networks and Information Processing 15(18), 387–392 (2008)

    Google Scholar 

  11. Rasid, M.F.A., Abdullah, R.S.A.R., Ghazvini, M.H.F., Vahabi, M.: Energy Optimization with Multi-level Clustering Algorithm for Wireless Sensor Networks. In: The Proc. of the Int. Conf. on Wireless and Optical Communications Networks, pp. 1–5 (2007)

    Google Scholar 

  12. Aliouat, M., Aliouat, Z., Naidja, M.: Adaptative Nodes Diagnosis and Recovery for Wireless Sensor Networks. In: IEEE, Symposium on Computer Applications and Industrial Electronics, Kota Kinabalu, Malaysia, December 3-4 (2012)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zibouda Aliouat .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Aliouat, Z., Aliouat, M. (2013). Improving Wireless Sensor Networks Robustness through Multi-level Fault Tolerant Routing Protocol. In: Amine, A., Otmane, A., Bellatreche, L. (eds) Modeling Approaches and Algorithms for Advanced Computer Applications. Studies in Computational Intelligence, vol 488. Springer, Cham. https://doi.org/10.1007/978-3-319-00560-7_16

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-00560-7_16

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-00559-1

  • Online ISBN: 978-3-319-00560-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics