Skip to main content

Self Healing Wireless Sensor Network

  • Conference paper
Advanced Computing, Networking and Security (ADCONS 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7135))

  • 2827 Accesses

Abstract

Wireless sensor networks consist of small battery powered devices with limited energy resources. Once deployed, the small sensor nodes are usually inaccessible to the user, and thus replacement of the energy source is not feasible. Hence, Self Healing is a key design issue that needs to be done in order to improve the life time of the network. Several network layer protocols have been proposed to improve the effective lifetime of a network with a limited energy supply. In this article we propose a Self Healing Routing Protocol which efficiently utilizes the energy availability of the nodes to identify the best possible route to the destination so that the network can be healed from failure. Simulation results show that the Self Healing routing scheme achieves much higher performance than the classical routing protocols, even in the presence of high node density.

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. Kim, J., Lin, X., Ness, B., Sinha, P.: Minimizing Delay and Maximizing Lifetime for wireless sensor networks with any cast. IEEE Transactions on Networking 18(2) (2010)

    Google Scholar 

  2. Zhu, Y., Wu, W., Pan, J., Tang, Y.: An energy-efficient data gathering algorithm to prolong lifetime of wireless sensor networks. Journal of Computer Communication (2009)

    Google Scholar 

  3. Xiaobing, W., Chen, G.: Avoiding Energy Holes in Wireless Sensor Networks with Nonuniform Node Distribution. IEEE Transactions on Parallel and Distributed Systems 19(5) (2008)

    Google Scholar 

  4. Marta, M., Cardei, M.: Improved sensor network lifetime with multiple mobile sinks. Pervasive and Mobile Computing Journal (2009)

    Google Scholar 

  5. Olariu, S., Stojmenovic, I.: Design guidelines for maximizing lifetime and avoiding energy holes in sensor networks with uniform distribution and uniform reporting. In: IEEE INFOCOM, Barcelona, Spain (2006)

    Google Scholar 

  6. Luo, J., Hubaux, J.P.: Joint Mobility and Routing for Lifetime Elongation in Wireless Sensor Networks. In: IEEE INFOCOM (2005)

    Google Scholar 

  7. Chatzigiannakis, I., Kinalis, A., Nikolestseas, S.: Sink Mobility Protocols for Data Collection in Wireless Sensor Networks. In: 4th ACM/IEEE International Workshop on Mobility Management an Wireless Access Protocols (Mobi Wac 2006), Torremolinos, Malaga, Spain (October 2006)

    Google Scholar 

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

S., S., M., C. (2012). Self Healing Wireless Sensor Network. In: Thilagam, P.S., Pais, A.R., Chandrasekaran, K., Balakrishnan, N. (eds) Advanced Computing, Networking and Security. ADCONS 2011. Lecture Notes in Computer Science, vol 7135. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29280-4_49

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-29280-4_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29279-8

  • Online ISBN: 978-3-642-29280-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics