International Journal of Computer Science & Network Security

International Journal of Computer Science & Network Security (국제컴퓨터통신보호논문지학회)
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Self-Organized Hierarchy Tree Protocol for Energy-Efficiency in Wireless Sensor Networks

  • THALJAOUI, Adel (Department of Computer Science and Information College of Science at Zulfi, Majmaah University)
  • Received : 2021.09.05
  • Published : 2021.09.30
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Abstract

A sensor network is made up of many sensors deployed in different areas to be monitored. They communicate with each other through a wireless medium. The routing of collected data in the wireless network consumes most of the energy of the network. In the literature, several routing approaches have been proposed to conserve the energy at the sensor level and overcome the challenges inherent in its limitations. In this paper, we propose a new low-energy routing protocol for power grids sensors based on an unsupervised clustering approach. Our protocol equitably harnesses the energy of the selected cluster-head nodes and conserves the energy dissipated when routing the captured data at the Base Station (BS). The simulation results show that our protocol reduces the energy dissipation and prolongs the network lifetime.

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References

  1. Y. Jia, C. Zhang and K. Liang, "A distributed multi-competitive clustering approach for wireless sensor networks," International Journal of Wireless Information Networks, vol. 24, no. 1, pp.454-461, 2017. https://doi.org/10.1007/s10776-017-0353-4
  2. V. K. Arora, V. Sharma and M. Sachdeva, "A survey on leach and other's routing protocols in wireless sensor network," Optik-International Journal for Light and Electron Optics, vol. 127,no. 16,( pp. 6590-6600, 2016. https://doi.org/10.1016/j.ijleo.2016.04.041
  3. A. Guiloufi, N. Nasri and A. Kachouri, "An energy-efficient unequal clustering algorithm using 'Sierpinski Triangle' for WSNs," Wireless Personal Communications, vol. 88, no. 3, pp. 449-465, 2016. https://doi.org/10.1007/s11277-015-3137-0
  4. G. S. Sara, S. P. Devi and D. Sridharan, "A genetic-algorithm-based optimized clustering for energy-efficient routing in mwsn," Etri Journal, vol. 34, no. 6, pp. 922-931, 2012. https://doi.org/10.4218/etrij.12.1812.0047
  5. S. E. Khediri, N. Nasri, A. Wei and A. Kachouri, "A new approach for clustering in wireless sensors networks based on leach," Procedia Computer Science, vol. 32, no. 1, pp. 1180-1185, 2014. https://doi.org/10.1016/j.procs.2014.05.551
  6. S. El Khediri, R. Khan, N. Nejah and A. Kachouri,, "MWLEACH: Low energy adaptive clustering hierarchy approach for WSN," IET Wireless Sensor Systems, vol. 10, no. 4, pp. 126-129, 2020. https://doi.org/10.1049/iet-wss.2019.0195
  7. S. El Khediri, A. Dallali and A. Kachouri, "Multi objective clustering algorithm for maximizing lifetime in wireless sensor networks," J. Netw. Technol, vol. 8, no. 4, pp. 109-120, 2017.
  8. S. El Khediri, W. Fakhet, T. Moulahi, R. Khan, A. Thaljaoui et al., "Improved node localization using K-means clustering for wireless sensor networks," Computer Science Review, vol.37, no.1, pp. 100284, 2020. https://doi.org/10.1016/j.cosrev.2020.100284
  9. S. El Khediri, R. Khan, N. Nasri and A. Kachouri, "Energy efficient adaptive clustering hierarchy approach for wireless sensor networks," International Journal of Electronics, vol. 0, no. 0, pp. 1-20, 2020.
  10. W. Heinzelman, A. Chandrakasan and H. Balakrishnan, "An applicationspecific protocol architecture for wireless microsensor networks," IEEE Transactions on wireless communications, vol. 1 no. 4, pp. 660-670, 2002. https://doi.org/10.1109/TWC.2002.804190
  11. R. Priyadarshi, L. Singh and A. Singh, "A novel HEED protocol for wireless sensor networks," IEEE 5th International Conference on Signal Processing and Integrated Networks (SPIN), Noida, Delhi-NCR, pp. 296-300, 2018.
  12. S. Bayrakli and S. Erdogan, "Genetic algorithm based energy efficient clusters (gabeec) in wireless sensor networks," Procedia Computer Science, vol. 10, no. 1, pp. 247-254, 2012. https://doi.org/10.1016/j.procs.2012.06.034
  13. S. El Khediri, N. Nasri, A. Wei and A. Kachouri, "A new approach for clustering in wireless sensors networks based on LEACH," Procedia Computer Science, vol. 32, no.1, pp. 1180-1185, 2014. https://doi.org/10.1016/j.procs.2014.05.551
  14. N. Srikanth and T. Shankar, "Comparison of self-organized tree hierarchy MAC protocol and PP-MAC for energy consideration in wireless sensor networks," in Proc. Materials Today, vol. 33, no. 1, pp. 4756-4763 2020. https://doi.org/10.1016/j.matpr.2020.08.359
  15. S. Bayrakli and S. Erdogan, "Genetic algorithm based energy efficient clusters (gabeec) in wireless sensor networks," Procedia Computer Science, vol. 10, no. 1, pp. 247-254, 2012. https://doi.org/10.1016/j.procs.2012.06.034
  16. S. Fouchal and I. Lavallee, "Fast and Flexible Unsupervised Clustering Algorithm Based on Ultrametric Properties," in Proc. 7th ACM Symposium on QoS and Security for Wireless and Mobile Networks (Q2SWinet'11), Miami, FL, EtatsUnis, pp. 35-42, 2011.
  17. A. Francillon and C. Castelluccia, "Code Injection Attacks on Harvard-Architecture Devices," in Proc. 15th ACM Conference on Computer and Communications Security, Alexandria, VA, pp. 15-26, 2008.
  18. K. Chatterjee, T. Henzinger and M. Jurdzinski, "MeanPayoff Parity Games," in Proc. 20th International Symposium on Logic in Computer Science, Chicago, IL, USA, pp. 1-10 , 2005.