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Performance Evaluation of Distributed Clustering Protocol under Distance Estimation Error

  • Nguyen, Quoc Kien (Department of Electrical and Information Engineering, Seoul National University of Science and Technology) ;
  • Jeon, Taehyun (Department of Electrical and Information Engineering, Seoul National University of Science and Technology)
  • Received : 2017.12.18
  • Accepted : 2018.01.05
  • Published : 2018.02.28

Abstract

The application of Wireless Sensor Networks requires a wise utilization of limited energy resources. Therefore, a wide range of routing protocols with a motivation to prolong the lifetime of a network has been proposed in recent years. Hierarchical clustering based protocols have become an object of a large number of studies that aim to efficiently utilize the limited energy of network components. In this paper, the effect of mismatch in parameter estimation is discussed to evaluate the robustness of a distanced based algorithm called distributed clustering protocol in homogeneous and heterogeneous environment. For quantitative analysis, performance simulations for this protocol are carried out in terms of the network lifetime which is the main criteria of efficiency for the energy limited system.

Keywords

References

  1. L. Xu, R. Collier, and G.M. O'Hare, "A survey of clustering techniques in WSNs and consideration of the challenges of applying such to 5G IoT scenarios," IEEE Internet of Things Journal, Vol. 4, No. 5, pp. 1229-1249, 2017. https://doi.org/10.1109/JIOT.2017.2726014
  2. C.Y. Chong and S.P. Kumar, "Sensor networks: Evolution, opportunities, and challenges," Proceedings of IEEE, Vol. 91, No. 8, pp. 1247-1256, Aug 2003. https://doi.org/10.1109/JPROC.2003.814918
  3. Y. Gu, and A. Lo, "A Survey of Indoor Positioning Systems for Wireless Personal Networks," IEEE Communications Surveys & Tutorials, Vol. 11, No. 1, pp. 13-32, 2009. https://doi.org/10.1109/SURV.2009.090103
  4. A.S. Toor and A.K. Jain, "A Survey of Routing Protocols in Wireless Sensor Networks: Hierarchical Routing," IEEE International Conference on Recent Advances and Innovations in Engineering, pp. 1-6, 2016.
  5. W. Heinzelman, A. Chandrakasan, and H. Balakrishnan, "Energy-efficient communication protocol for wireless microsensor networks," The 33rd Hawaii International Conference on System Sciences, Vol. 8, p. 10, 2000.
  6. G. Dongfeng and X. Lijun, "LEACH Clustering Routing Protocol for WSN," Proceedings of the International Conference on Information Engineering and Applications, Vol. 4, Part II, pp. 153-160, 2013.
  7. V.G. Gungor, "Efficient available energy monitoring in wireless sensor networks," International Journal of Sensor Networks, Vol. 3, No. 1, pp. 25-32, 2008. https://doi.org/10.1504/IJSNET.2008.016459
  8. Q.K. Nguyen and T. Jeon, "Distributed clustering protocol for wireless sensor network," International Journal of Sensor Networks, Vol. 19, No. 3/4, pp. 242-250, 2015. https://doi.org/10.1504/IJSNET.2015.072878
  9. D. Yun, K. Jung and J. Lee, "The Routing Algorithm for Wireless Sensor Networks with Random Mobile Nodes," International Journal of Internet, Broadcasting and Communication, Vol. 9 No. 4, pp. 38-43, 2017.
  10. S. Jin, K. Jung and J. Lee, "Enhanced ML-LEACH with additional Relay Node," International Journal of Advanced Smart Convergence, Vol. 6, No. 3, pp. 9-16, 2017. https://doi.org/10.7236/IJASC.2017.6.1.9
  11. S. Jang, K. Jung and J. Lee, "The Comparison of the 3D graph for the energy-equal of LEACH-Mobile," International Journal of Advanced Smart Convergence, Vol. 6, No. 1, pp. 57-67, 2017. https://doi.org/10.7236/IJASC.2017.6.1.57