Skip to main content

Advertisement

Log in

Increasing Lifetime and Fault Tolerance Capability in Wireless Sensor Networks by Providing a Novel Management Framework

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

The main application of wireless sensor networks is to monitor remote and dangerous areas that are inaccessible or difficult and or costly to reach by humans. This characteristic makes these networks be self-managed, face the challenges of fault tolerance and energy and network lifetime constraints due to non-renewable energy sources. In this paper, a management framework capable of providing and increasing network fault tolerance is introduced. To design such a framework, fault detection and recovery mechanisms for various fault levels including network nodes and communications between them have been used. The proposed management framework and protocols increase network’s fault tolerance capability in network nodes and in the communications between them. Also, the network lifetime increases three to five times more. On the one hand, it’s expected that the provision of network fault tolerance would decrease network’s lifetime and since it increases information exchange, it would increase energy consumption and cause reduced network life time, however the final results suggest a several-fold increase of network lifetime.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12

Similar content being viewed by others

References

  1. Yu, M., Mokhtar, H., & Merabti, M. (2007). Fault management in wireless sensor networks. IEEE Wireless Communications, 14(6), 13–19.

    Article  Google Scholar 

  2. Asim, M., & Mokhtar, M. (2009). A cellular approach to fault detection and recovery in wireless sensor network. In Third International Conference on Sensor Technologies and Applications.

  3. Paradis, L., & Han, Q. (2007). Fault management in wireless sensor networks: A survey. Journal of networks and systems management, 15(2), 171–190.

    Article  Google Scholar 

  4. Saleh, I., Eltoweissy, M., Ahbariya, A., & El-Sayed, H. (2007). A fault tolerance management framework for wireless sensor networks. Journal of Communications, 2(4), 38–48.

    Google Scholar 

  5. Moreira, L. (2006). Ft-Cowisenets: A fault tolerance framework for wireless sensor networks. In IEEE International Conference on Sensor Technologies and Applications, 14–20 October 2007, (pp. 289–294).

  6. Harte, S., & Rahman A. (2005). Fault tolerance in sensor networks using self-diagnosing sensor nodes. In The IEEE International Workshop on Intelligent Environment (pp. 7–12).

  7. Ding M., Chen, D., Xing, K., & Cheng, X. (2005). Localized fault-tolerant event boundary detection in sensor networks. In Proceeding of the 24th Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM 105). Miami, USA.

  8. Krishnamachari, B., & Iyengar, S. (2004). Distributed Bayesian algorithms for fault-tolerant event region detection in wireless sensor networks. IEEE Transactions on Computers, 53, 241–250.

    Article  Google Scholar 

  9. Ramanathan, N., Chang, K., Kapur, R., Girod, L., Kohler, E., & Estrin, D. (2004). Sympathy: A debugging system for sensor networks. In IEEE International Conference on Local Computer Networks.

  10. Rost, S., & Balakrishnan, H. (2006). Memento: A health monitoring system for wireless sensor networks. In SECON.

  11. Heinzelman, W. R., Chandrakasan, A., & Balakrishnan, H. (2000). Energy-efficient communication protocol for wireless micro sensor networks. In Proceedings of the 33rd Hawaii International Conference on System Sciences (Vol 8, p. 8020).

  12. Gupta, G., & Younis, M. (2003). Fault-tolerant clustering of wireless sensor networks. Wireless Communications and Networking, 3, 1579–1584.

    Google Scholar 

  13. Gupta, I., Riordan, D., & Sampalli, S. (2005). Cluster-head election using fuzzy logic for wireless sensor networks. In Proceedings of the 3rd Annual Communication Networks and Services Research Conference (pp. 255–260).

  14. Staddon, J., Balfanz, D., & Durfee, G. (2002). Efficient tracing of failed nodes in sensor networks. In Proceedings of the 1st ACM International Workshop on Wireless Sensor Networks and Applications (pp. 122–130).

  15. Frank, C., & Romer, K. (2005). Algorithms for generic role assignment in wireless sensor networks. In Proceedings of the 3rd International Conference on Embedded Networked Sensor Systems (pp. 230–242).

  16. Levis, P., & Culler, D. (2002). Mate: A tiny virtual machine for sensor networks. In ASPLOS-X: Proceedings of the 10th International Conference on Architectural Support for Programming Languages and Operating Systems (pp. 85–95). New York, NY: ACM Press.

  17. Rong, P., & Pedram, M. (2003). Extending the lifetime of a network of battery-powered mobile devices by remote processing: A markovian decision-based approach. In DAC ’03: Proceedings of the 40th Conference on Design Automation (pp. 906–911). New York, NY: ACM Press.

  18. Desovski, D., Liu, Y., & Cukic, B. (2005). Linear randomized voting algorithm for fault tolerant sensor fusion and the corresponding reliability model. In IEEE International Symposium on Systems Engineering (pp. 153–162).

  19. Marzullo, K. (1990). Tolerating failures of continuous-valued sensors. ACM Transactions on Computer Systems, 8(4), 284–304.

    Article  Google Scholar 

  20. Li, N., & Hou, J. C. (2004). FLSS: A fault-tolerant topology control algorithm for wireless networks. In Proceedings of the 10th Annual International Conference on Mobile Computing and Networking (pp. 275–286).

  21. Bajaber, F., & Awan, I. (2008). Dynamic/static clustering protocol for wireless sensor network. In Second UKSIM European Symposium on Computer modeling and simulation, EMS ’08 (pp. 524–529).

  22. Karim, L., Nasser, N., & Sheltami, T. (2009). A fault tolerant dynamic clustering protocol of wireless sensor networks. In IEEE Conference on Global Telecommunications, November 30–December 4 2009, (pp. 1-6).

  23. Khadivi, A., & Shiva, M. (2006). FTPASC: A fault tolerant power aware protocol with static clustering for wireless sensor networks. In IEEE.

  24. Lai, Y., & Chen, H. (2007). Energy-efficient fault tolerant mechanism for clustered wireless sensor networks. In IEEE.

  25. Ganesa, D., Govindan, R., Shenker, S., & Estring, D. (2001). Highly–resilient, energy-efficient multipath routing in wireless sensor networks. ACM SIGMOBILE Mobile Computing and Communications Reviw, 5(4), 11–25.

    Article  Google Scholar 

  26. Mishra, S., Jena, L., Chakrabarty, A., & Choudhury, J. (2012). Fault tolerant multi cluster head data aggregation protocol in WSN (FMCDA). International Journal of Technological Exploration and Learning, 1, 32–36.

    Google Scholar 

  27. Akbari, A., Dana, A., Khademzadeh, A., & Beikmahdavi, N. (2011). Fault detection and recovery in wireless sensor network using clustering. International Journal of Wireless and Mobile Networks, 3, 130–138.

    Article  Google Scholar 

  28. Venkatesh, S. (2013). An efficient fault tolerant system using improved clustering in wireless sensor networks. Graduate Research in Engineering and Technology, 1, 2320–6632.

    Google Scholar 

  29. Cheraghlou, M. N., Babaie, S., & Samadi, M. (2012). LRC: Novel fault tolerant local re-clustering protocol for wireless sensor network. Journal of Computing, 4, 2151–9617.

    Google Scholar 

  30. Cheraghlou, M. N., & Haghparast, M. (2014). A novel fault-tolerant leach clustering protocol for wireless sensor networks. Journal of Circuits, Systems, and Computers, 23, 1450041. doi:10.1142/S0218126614500418.

    Article  Google Scholar 

  31. Kim, D. Y., & Cho, J. (2009). Active caching: A transmission method to guarantee desired communication reliablity. In IEEE Wireless Sensor Networks.

  32. Gobriel, S., Khattab, S., Moss, D., Brustoloni, J., & Melhem, R. (2006). RideSharing: Fault tolerant aggregation in sensor network using corrective actions. In Proceeding of Third Annual IEEE Communications Society Conference on Sensor. Virginia.

  33. Ratnasamy, S., Karp, B., Shenker, S., Estrin, D., Govindan, R., Yin, L., et al. (2003). Data-centric storage in sensornets with GHT, a geographic hash table. Mobile Networks and Applications, 8(4), 427–442.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Majid Haghparast.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Cheraghlou, M.N., Khadem-Zadeh, A. & Haghparast, M. Increasing Lifetime and Fault Tolerance Capability in Wireless Sensor Networks by Providing a Novel Management Framework. Wireless Pers Commun 92, 603–622 (2017). https://doi.org/10.1007/s11277-016-3559-3

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-016-3559-3

Keywords

Navigation