Abstract

In this study, we introduce a link quality based error correction technique for the self-healing WSN. Using the link adaptation algorithm the link quality is measured. And the relay nodes is selected by using the Link Quality Index (LQI) value, such that if the LQI value of a node is above the threshold value it will be chosen as a Relay node. These Relay nodes collect the data from the sensor nodes and apply Forward Error Correction (FEC) by partially decoding the incoming channel-coded data using lesser number of iterations. The FEC provides reliability with lesser transmission power. The quantity of FEC encoding is adaptively adjusted based on the measured link quality values. Multi-path routing is used in order to avoid data loss during the data transmission. With this, the data loss due to faulty path is avoided.

Keywords:

Forward error correction, link adaptation, link quality index, multi-path routing, self-healing, wireless sensor networks,

References

1. Babbitt, T.A., C. Morrell and B.K. Szymanski and J.W. Branch, 2008. Self-selecting reliable paths for wireless sensor network routing. Comput. Commun. J., 31(16): 3799-3809.
   CrossRef    
2. Bourdenas, T., 2011. Self-healing in wireless sensor networks. Ph.D. Thesis, Imperial College London Faculty of Engineering Department of Computing, London.
   
3. Bourdenas, T. and M. Sloman, 2009. Towards self-healing in wireless sensor networks. Proceeding of the 6th International Workshop on Wearable and Implantable Body Sensor Networks, pp: 15-20, ISBN: 978-0-7695-3644-6.
   CrossRef    
4. Diongue, D. and O. Thiare, 2015. An Energy Efficient Self-healing Mechanism for Long Life Wireless Sensor Networks. In: Sobh, T. and K. Elleithy (Eds.), Innovations and Advances in Computing, Information, System, Sciences, Networking and Engineering, Lectures Notes in Electrical Engineering (LNEE), Springer International Publishing, Switzerland, 313: 599-605.
   CrossRef    
5. Kyasanur, P. and N.H. Vaidya, 2006. Routing and link-layer protocols for multi-channel multi-interface ad hoc wireless networks. ACM SIGMOBILE Mob. Comput. Commun. Rev., 10(1): 31-43.
   CrossRef    
6. Lanthaler, M., 2012. Self-healing Wireless Sensor Networks. Retrieved from: https://www.cs.helsinki.fi/u/niklande/opetus/SemK07/paper/lanthaler.pdf.
   Direct Link
7. Lim, T.H., H.K. Lau, J. Timmis and I. Bate, 2012. Immune-inspired Self Healing in Wireless Sensor Networks. In: Coello, Coello, C.A. et al. (Eds.), ICARIS, 2012. Artificial Immune Systems. Springer-Verlag, Berlin, Heidelberg, 7597: 42-56.
   CrossRef    
8. Maimour, M., 2008. Maximally radio-disjoint multipath routing for wireless multimedia sensor networks. Proceeding of 4th ACM International Workshop on Wireless Multimedia Networking and Performance Modeling (WMuNeP'08), Vancouver, Canada.
   CrossRef    
9. Marinkovic, S. and E. Popovici, 2009. Network coding for efficient error recovery in wireless sensor networks for medical applications. Proceeding of the 1st International Conference on Emerging Network Intelligence, pp: 15-20.
   CrossRef    
10. Pietro, R.D., D. Ma, C. Soriente and G. Tsudik, 2008. POSH: Proactive co-operative self-healing in unattended wireless sensor networks. Proceeding of the IEEE Symposium on Reliable Distributed Systems (SRDS'08), pp: 185-194.
    CrossRef    
11. Qaisar, S.B. and H. Radha, 2007. OPERA: An optimal progressive error recovery algorithm for wireless sensor networks. Proceeding of the 4th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON '07), pp: 344-352.
    CrossRef    
12. Shantilal, P.J.K., 2013. Self-healing sensor network key distribution scheme for secure communication. Res. J. Recent Sci., 2(ISC-2012): 158-161.
    
13. Song, Y., T. Chen, J. Ma, Y. Feng and X. Zhang, 2012. Design and analysis for reliability of wireless sensor network. J. Netw., 7(12).
    CrossRef    
14. Yuan, S., L. Qiu, S. Gao, Y. Tong and W. Yang, 2012. Providing self-healing ability for wireless sensor node by using reconfigurable hardware. Sensors, 12(11): 14570-14591.
    CrossRef    PMid:23202176 PMCid:PMC3522929    

Competing interests

The authors have no competing interests.

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The authors have no competing interests.