Fault Hub Replacement Algorithm for a Wireless Sensor Network

Authors

  • S Srikanth  Department of ECE, Sree Dattha Institute of Engineering and Sciences, Telangana, Tamil Nadu, India

Keywords:

Sensor hub, Grade diffusion, Genetic Algorithm, Fault hub Replacement Algorithm, WSN.

Abstract

A wireless sensor network comprises of various number of sensor hubs, which is utilized to gather and exchange information from source hub to sink hub at customary time interims. The power of each sensor hub in WSN is generally constrained. So the power consumption issue is major concern of WSN. Amid transmission, the sensor hub will lose their battery control and progress toward becoming flaw hub when it is utilized drawn out stretch of time. The fault may likewise happen because of sudden drop of battery control in sensor hubs or because of some other cataclysmic event. Therefore, the non-working hub recuperation is fundamental undertaking for expanding the lifetime of WSN. The proposed Fault Hub Replacement (FHR) algorithm is based review Grade diffusion (GD) algorithm joined with Genetic algorithm use to decrease the information loss and improved the life-span of WSN by supplanting some non-working hub.

References

  1. R. Kay, F. Mattern. "The Design Space of Wireless Sensor Networks", IEEE Wireless Communications, Dec. 2004.
  2. T. H. Liu, S. C. Yi, and X. W. Wang, "A fault management protocol for low-energy and efficient wireless sensor networks", Journal Information Hiding Multimedia Signal Process., vol. 4(1), pp. 34-45, 2013
  3. P. Daniele, H. Martin."Wireless sensor networks: applications and challenges of ubiquitous sensing", Circuits and Systems Magazine, IEEE, Vol. 5(3), pp. 19-31, 2005.
  4. Z. He, B. S. Lee, and X. S. Wang, "Aggregation in sensor networks with a user-provided quality of service goal", Information Science., Vol. 178(9), pp. 2128-2149, 2008.
  5. S. Gowrishankar, T. G. Basavaraju, D. H. Manjaiah, S. K. Sankar, "Issues in Wireless sensor networks", Proceeding of the world congress on Engineering on London, UK, Vol. No. 1, July 2-4, 2008.
  6. C. Intanagonwiwat, R. Govindan, D. Estrin, J. Heidemann, and F. Silva,"Directeddiffusion for wireless sensor networking",IEEE/ACM Transactions on Networking, Vol. 11(1), pp. 2-16, Feb. 2003.
  7. J. H. Ho, H. C. Shih, B. Y. Liao, and J. S. Pan, "Grade diffusion algorithm", in Proc. 2nd Int. Conf. Eng. Technol. Innov.,pp. 2064-2068. 2012.
  8. J. H. Ho, H. C. Shih, B. Y. Liao, and S. C. Chu, "A ladder diffusion algorithm using ant colony optimization for wireless sensor networks", Information Science., vol. 192, pp. 204-212, Jun.2012.
  9. A. Salami, M. Nada. "Ant colony optimization algorithm", UbiCC Journal , Vol.4(3), pp. 823-826,2009.
  10. D.J.Kenneth,"Genetic algorithm based learning", 1990.
  11. J. A. Carballido, I. Ponzoni, and N. B. Brignole, "CGD-GA: A graphbased genetic algorithm for sensor network design", Information. Science., Vol. 177(22), pp. 5091-5102, 2007.
  12. H. C. Shih, J. H. Ho, B. Y. Liao, and J. S. Pan. "Fault node recovery algorithm for a wireless sensor network", IEEE Sensors Journal, Vol. 13(7), pp.2683-2689,2013

Downloads

Published

2017-12-31

Issue

Section

Research Articles

How to Cite

[1]
S Srikanth, " Fault Hub Replacement Algorithm for a Wireless Sensor Network, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 3, Issue 8, pp.629-633, November-December-2017.