International Journal of Computer Networks and Applications (IJCNA)

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International Journal of Computer Networks and Applications (IJCNA)

International Journal of Computer Networks and Applications (IJCNA)

Published By EverScience Publications

ISSN : 2395-0455

Energy-Efficient Hybrid Protocol for Wireless Sensor Networks

Author NameAuthor Details

S Arockiaraj, Krishanamoorthi Makkithaya, Harishchandra Hebbar N

S Arockiaraj[1]

Krishanamoorthi Makkithaya[2]

Harishchandra Hebbar N[3]

[1]Manipal School of Information Sciences (MSIS), Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India

[2]Department of Computer Science and Engineering, Manipal Institute of Technology (MIT), Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India

[3]Manipal School of Information Sciences (MSIS), Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India

Cite this Article

DOI: 10.22247/ijcna/2021/210728

Pages : 804-817

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Abstract

A wireless sensor network (WSN) is a giant web of tiny sensor nodes for specific monitoring and control purposes. It is becoming increasingly common to see WSN-enabled applications in our daily lives. Sensor nodes in most applications rely solely on battery power to function. To monitor fire and animal life, the nodes are placed in remote areas like forests, and the communication in WSN tends to be multi-hop. In such a scenario, if nodes fail due to battery power depletion, recharging or replacing the nodes' batteries becomes difficult or impossible, resulting in network failure. Efficient energy usage is critical for extending the life of the network and lowering the cost of replacement. This multi-hop communication requires an efficient routing mechanism to send the packets from source to destination. Several methods for efficient routing have been proposed in the literature. Among them, the clustering method is shown to be the most energy-efficient. The cluster head (CH) selection process is crucial in cluster-based approaches since the process of CH selection consumes more energy. Low Energy Adaptive Clustering Hierarchical (LEACH) and its most recent versions are widely used in practice. However, in LEACH, the CH nodes are chosen at random without considering the leftover energy. This may result in quick depletion of the energy in the randomly selected CH, resulting in network failure. Energy Efficient Hybrid Clustering (EEHC) is the latest derivative and an improved version of LEACH. EEHC selects the nodes closest to the sink as CH. Due to this type of CH selection, the chances of nodes near the sink failing increase. To solve these difficulties, this article presents an Energy-Efficient Hybrid Protocol (EEHP), a technique for WSN that consumes relatively less energy. This protocol employs a novel CH selection mechanism based on how much energy is left and how far the nodes are from the sink. In each round, the nodes with the highest probability of becoming CH are determined by the combination of distance and residual energy. The outcome of this study is compared with the LEACH and EEHC protocols. The simulation results indicate that the proposed EEHP protocol increases the lifetime of the network by at least 3.8 times when compared to the EEHC protocol and by 6.3 times when compared to the LEACH protocol. Thus, the proposed protocol outperforms LEACH and EEHC in terms of enhanced lifespan by reducing consumed energy and routing overheads.

Index Terms

Energy Consumption

Energy Efficiency

Multi-Hop Routing

Routing Overhead

Wireless Sensor Networks

Reference

  1. 1.
    A. P. Abidoye and B. Kabaso, “Energy-efficient hierarchical routing in wireless sensor networks based on fog computing,” Eurasip J. Wirel. Commun. Netw., vol. 2021, no. 1, Dec. 2021, doi: 10.1186/s13638-020-01835-w.
  2. 2.
    F. Safara, A. Souri, T. Baker, I. Al Ridhawi, and M. Aloqaily, “PriNergy: a priority-based energy-efficient routing method for IoT systems,” J. Supercomput., vol. 76, no. 11, pp. 8609–8626, Nov. 2020, doi: 10.1007/s11227-020-03147-8.
  3. 3.
    M. J. Handy, M. Haase, and D. Timmermann, “Low energy adaptive clustering hierarchy with deterministic cluster-head selection,” 2002 4th Int. Work. Mob. Wirel. Commun. Network, MWCN 2002, no. 1, pp. 368–372, 2002, doi: 10.1109/MWCN.2002.1045790.
  4. 4.
    Ali M, Dey T, Biswas R, “ALEACH: Advanced LEACH routing protocol for wireless microsensor networks,” Proc. Int. Conf. Electr. Comput. Eng., pp. 909-14, 2008.
  5. 5.
    M. C. M. T. and T. Thein, “An Energy Efficient Cluster-Head Selection for Wireless Sensor Networks,” Proc. Int. Conf. Intell. Syst., Model. Simul., pp. 287-291, 2010.
  6. 6.
    A. A. and M. I. Mohammad, “Hybrid LEACH: A Relay Node Based Low Energy Adaptive Clustering Hierarchy for Wireless Sensor Networks,” Proc. Int. Conf. Commun., pp. 911-916, 2009.
  7. 7.
    F. X. and S. Yulin, “The Improvement of LEACH Protocol in WSN,” Proc. Int. Conf. Comput. Sci. Netw. Technol., pp. 1345-1348, 2011.
  8. 8.
    Rui Hou, Weizheng Ren, Yaodong Zhang , “A wireless sensor network clustering algorithm based on energy and distance,” Proc. Work. Comput. Sci. Eng., pp. 439-442, 2009.
  9. 9.
    T. G. Nguyen, C. So-In, and N. G. Nguyen, “Two energy-efficient cluster head selection techniques based on distance for wireless sensor networks,” 2014 Int. Comput. Sci. Eng. Conf. ICSEC 2014, pp. 33–38, 2014, doi: 10.1109/ICSEC.2014.6978125.
  10. 10.
    S. I. Rubel, “Energy Efficient Hybrid Clustering Approach in Wireless Sensor Network (WSN),” 2018 Usn. Radio Sci. Meet. Joint with AP-S Symp., pp. 125–126, 2018.
  11. 11.
    C. Nakas, D. Kandris, and G. Visvardis, “Energy efficient routing in wireless sensor networks: A comprehensive survey,” Algorithms, vol. 13, no. 3. MDPI AG, 01 Mar 2020, doi: 10.3390/a13030072.
  12. 12.
    K. Singh, “WSN LEACH based protocols: A structural analysis,” Dec 2015, doi: 10.1109/IEMCON.2015.7344478.
  13. 13.
    Y. Z. Li, A. L. Zhang, and Y. Z. Liang, “Improvement of leach protocol for wireless sensor networks,” Proc. - 3rd Int. Conf. Instrum. Meas. Comput. Commun. Control. IMCCC 2013, pp. 322–326, 2013, doi: 10.1109/IMCCC.2013.74.
  14. 14.
    A. Wendi B. Heinzelman, Member, IEEE, Anantha P. Chandrakasan, Senior Member, IEEE and I. Hari Balakrishnan, Member, “An Application-Specific Protocol Architecture for Wireless Microsensor Networks,” IEEE Trans. Wirel. Commun., vol. 1, no. 4, 2002.
  15. 15.
    H. Mostafaei, “Energy-efficient algorithm for reliable routing of wireless sensor networks,” IEEE Trans. Ind. Electron., vol. 66, no. 7, pp. 5567–5575, Jul 2019, doi: 10.1109/TIE.2018.2869345.
  16. 16.
    Y. Zhang, X. Zhang, S. Ning, J. Gao, and Y. Liu, “Energy-efficient multilevel heterogeneous routing protocol for wireless sensor networks,” IEEE Access, vol. 7, pp. 55873–55884, 2019, doi: 10.1109/ACCESS.2019.2900742.
  17. 17.
    T. Kaur and D. Kumar, “Computational intelligence-based energy efficient routing protocols with QoS assurance for Wireless Sensor Networks: A survey,” International Journal of Wireless and Mobile Computing, vol. 16, no. 2. Inderscience Publishers, pp. 172–193, 2019, doi: 10.1504/IJWMC.2019.099043.
  18. 18.
    S. Taruna, S. Kohli, and G. N. Purohit, “Energy efficient and minimal path selection of nodes to cluster head in homogeneous wireless sensor networks,” in Advances in Intelligent and Soft Computing, 2012, vol. 167 AISC, no. VOL. 2, pp. 275–284, doi: 10.1007/978-3-642-30111-7_26.
  19. 19.
    N. P. R. Kumar and J. B. Gnanadhas, “Cluster centroid-based energy efficient routing protocol for WSN-assisted IoT,” Adv. Sci. Technol. Eng. Syst., vol. 5, no. 4, pp. 296–313, Jul 2020, doi: 10.25046/aj050436.
  20. 20.
    M. F. Ullah, J. Imtiaz, and K. Q. Maqbool, “Enhanced three layer hybrid clustering mechanism for energy efficient routing in IoT,” Sensors (Switzerland), vol. 19, no. 4, Feb 2019, doi: 10.3390/s19040829.
  21. 21.
    D. Sharma and A. P. Bhondekar, “Traffic and Energy Aware Routing for Heterogeneous Wireless Sensor Networks,” IEEE Commun. Lett., vol. 22, no. 8, pp. 1608–1611, Aug 2018, doi: 10.1109/LCOMM.2018.2841911.
  22. 22.
    T. S. Rappaport, “Wireless Communications, Principles and Practice.”, Prentic Hall PTR, ISBN: 0-7803-1167-1, 1996.
  23. 23.
    Y. Liu, Q. Wu, T. Zhao, Y. Tie, F. Bai, and M. Jin, “An improved energy-efficient routing protocol for wireless sensor networks,” Sensors (Switzerland), vol. 19, no. 20, Oct 2019, doi: 10.3390/s19204579.
  24. 24.
    D. gan Zhang, T. Zhang, J. Zhang, Y. Dong, and X. dan Zhang, “A kind of effective data aggregating method based on compressive sensing for wireless sensor network,” Eurasip J. Wirel. Commun. Netw., vol. 2018, no. 1, Dec 2018, doi: 10.1186/s13638-018-1176-4.
  25. 25.
    M. Razzaq, D. Devi Ningombam, and S. Shin, “Energy efficient K-means clustering-based routing protocol for WSN using optimal packet size,” in International Conference on Information Networking, 2018, vol. 2018-Janua, no. 1, pp. 632–635, doi: 10.1109/ICOIN.2018.8343195.
  26. 26.
    A. Singh, S. Rathkanthiwar, and S. Kakde, “LEACH based-energy efficient routing protocol for wireless sensor networks,” in International Conference on Electrical, Electronics, and Optimization Techniques, ICEEOT 2016, Nov 2016, pp. 4654–4658, doi: 10.1109/ICEEOT.2016.7755602.
  27. 27.
    M. Ahyar et al., “Comparison of energy efficiency and routing packet overhead in single and multi path routing protocols over S-MAC for wireless sensor network,” Intech, vol. i, no. 1, pp. 406–411, 2015, doi: 10.1109/EMS.2012.66.
  28. 28.
    M. R. Senouci, A. Mellouk, H. Senouci, and A. Aissani, “Performance evaluation of network lifetime spatial-temporal distribution for WSN routing protocols,” J. Netw. Comput. Appl., vol. 35, no. 4, pp. 1317–1328, Jul 2012, doi: 10.1016/j.jnca.2012.01.016.
  29. 29.
    S. A. Nikolidakis, D. Kandris, D. D. Vergados, and C. Douligeris, “Energy efficient routing in wireless sensor networks through balanced clustering,” Algorithms, vol. 6, no. 1, pp. 29–42, 2013, doi: 10.3390/a6010029.
  30. 30.
    I. F. Akyildiz and M. C. Vuran, “Wireless Sensor Networks?: A Survey Revisited,” Comput. Networks, pp. 1–45, 2005.
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