Performance Evaluation of a Zone-based Three-level Heterogeneous Clustering Protocol for WSNs

Authors

DOI:

https://doi.org/10.26636/jtit.2023.3.1381

Keywords:

clustering, heterogeneous, network lifetime, stability period, zone-based WSN

Abstract

This paper proposes a zone-based three-level heterogeneous clustering protocol (ZB-TLHCP) for heterogeneous WSNs. In ZB-TLHCP, the sensor field/region is divided into zones where super, advance, and normal nodes are deployed uniformly and randomly. The performance of the proposed ZB-TLHCP system is compared with that of zonal-stable election protocol (Z-SEP), distributed energy efficient clustering (DEEC), and threshold-based DEEC (TDEEC) protocol by varying the number of super and advance nodes, their energy levels for the fixed sensor field, and the total number of nodes. Matlab simulation results revealed that the proposed ZB-TLHCP solution performed better than Z-SEP, DEEC, and TDEEC protocols, as it increased the instability period, prolonged the network's lifetime, and achieved higher throughput values.

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References

A. Verma, S. Kumar, P.R. Gautam, T. Rashid, and A. Kumar, "Broadcast and Reliable Coverage Based Efficient Recursive Routing in Large-scale WSNs", Telecommunication Systems, vol. 75, no. 1, pp. 63-78, 2020. DOI: https://doi.org/10.1007/s11235-020-00679-5
View in Google Scholar

S.R.J. Ramson and D.J. Moni, "Applications of Wireless Sensor Networks - A Survey", IEEE International Conference on Innovations in Electrical, Electronics, Instrumentation and Media Technology (ICEEIMT), Coimbatore, India, pp. 325-329, 2017. DOI: https://doi.org/10.1109/ICIEEIMT.2017.8116858
View in Google Scholar

G. Anastasi, M. Conti, M. Di Francesco, and A. Passarella, "Energy Conservation in Wireless Sensor Networks: A Survey", Ad Hoc Networks, vol. 7, no. 3, pp. 537-568, 2009. DOI: https://doi.org/10.1016/j.adhoc.2008.06.003
View in Google Scholar

I.F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, "Wireless Sensor Networks: a Survey", Computer Networks, vol. 38, no. 4, pp. 393-422, 2002. DOI: https://doi.org/10.1016/S1389-1286(01)00302-4
View in Google Scholar

J. Amutha, S. Sharma, and S.K. Sharma, "Strategies Based on Various Aspects of Clustering in Wireless Sensor Networks Using Classical, Optimization and Machine Learning Techniques: Review, Taxonomy, Research Findings, Challenges and Future Directions", Computer Science Review, vol. 40, art. no. 100376, 2021. DOI: https://doi.org/10.1016/j.cosrev.2021.100376
View in Google Scholar

W.R. Heinzelman, A. Chandrakasan, and H. Balakrishnan, "Energy-efficient communication protocol for wireless microsensor networks", in: IEEE Proceedings of the 33rd Annual Hawaii International Conference on System Sciences, Maui, USA, 2000.
View in Google Scholar

H. Farman et al., "Multi-criteria Based Zone Head Selection in Internet of Things Based Wireless Sensor Networks", Future Generation Computer Systems, vol. 87, pp. 364-371, 2018. DOI: https://doi.org/10.1016/j.future.2018.04.091
View in Google Scholar

J. Singh et al., "A Node Overhaul Scheme for Energy Efficient Clustering in Wireless Sensor Networks", IEEE Sensors Letters, vol. 5, no. 4, pp. 1-4, 2021. DOI: https://doi.org/10.1109/LSENS.2021.3068184
View in Google Scholar

S. Kumar, P.R. Gautam, T. Rashid, A. Verma, and A. Kumar, "Division Algorithm Based Energy-efficient Routing in Wireless Sensor Networks", Wireless Personal Communications, vol. 122, no. 3, pp. 2335-2354, 2022. DOI: https://doi.org/10.1007/s11277-021-08996-x
View in Google Scholar

A. Verma, T. Rashid, P.R. Gautam, S. Kumar, and A. Kumar, "Cost and Sub-epoch Based Stable Energy-efficient Clustering Algorithm for Heterogeneous Wireless Sensor Networks", Wireless Personal Communications, vol. 107, no. 2, pp. 1865-1879, 2019. DOI: https://doi.org/10.1007/s11277-019-06362-6
View in Google Scholar

P. Rawat, S. Chauhan, and R. Priyadarshi, "A Novel Heterogeneous Clustering Protocol for Lifetime Maximization of Wireless Sensor Network", Wireless Personal Communications, vol. 117, no. 2, pp. 825-841, 2021. DOI: https://doi.org/10.1007/s11277-020-07898-8
View in Google Scholar

S. Faisal et al., "Z-SEP: Zonal-Stable Election Protocol for Wireless Sensor Networks", Journal of Basic and Applied Scientific Research, vol. 3, no. 5, pp. 132-139, 2013.
View in Google Scholar

F.A. Khan, M. Khan, M. Asif, A. Khalid, and I.U. Haq, "Hybrid and Multi-hop Advanced Zonal-stable Election Protocol for Wireless Sensor Networks", IEEE Access, vol. 7, pp. 25334-25346, 2019. DOI: https://doi.org/10.1109/ACCESS.2019.2899752
View in Google Scholar

R.A. Sadek, "Hybrid Energy Aware Clustered Protocol for IoT Heterogeneous Network", Future Computing and Informatics Journal, vol. 3, no. 2, pp. 166-177, 2018. DOI: https://doi.org/10.1016/j.fcij.2018.02.003
View in Google Scholar

W. Abidi and T. Ezzedine, "Effective Clustering Protocol Based on Network Division for Heterogeneous Wireless Sensor Networks", Computing, vol. 102, no. 2, pp. 413-425, 2020. DOI: https://doi.org/10.1007/s00607-019-00757-w
View in Google Scholar

A. Chithra and R.S.S. Kumari, "A Novel 3-level Energy Heterogeneity Clustering Protocol with Hybrid Routing for a Concentric Circular Wireless Sensor Network", Cluster Computing, vol. 22, no. 6, pp. 11101-11108, 2019. DOI: https://doi.org/10.1007/s10586-017-1310-9
View in Google Scholar

S. Tyagi, S. Tanwar, S.K. Gupta, N. Kumar, and J. Rodrigues, "A Lifetime Extended Multi-levels Heterogeneous Routing Protocol for Wireless Sensor Networks", Telecommunication Systems, vol. 59, no. 1, pp. 43-62, 2015. DOI: https://doi.org/10.1007/s11235-014-9884-5
View in Google Scholar

S. Alsafi and S.A. Talab, "Implementation of DEEC, DDEEC, EDEEC and TDEEC Protocols using MATLAB in Wireless Sensor Network", International Journal of Advanced Networking and Applications, vol. 12, no. 3, pp. 4596-4600, 2020. DOI: https://doi.org/10.35444/IJANA.2020.12304
View in Google Scholar

T.N. Qureshi, N. Javaid, M. Malik, U. Qasim, and Z.A. Khan, "On Performance Evaluation of Variants of DEEC in WSNs", in: IEEE Seventh International Conference on Broadband, Wireless Computing, Communication and Applications, Victoria, Canada, pp. 162-169, 2012. DOI: https://doi.org/10.1109/BWCCA.2012.35
View in Google Scholar

S. Kaur et al., "Heterogeneous Load Balancing Clustering Protocol for Wireless Sensor Networks", Cognitive Systems Research, vol. 70, pp. 10-17, 2021. DOI: https://doi.org/10.1016/j.cogsys.2021.07.001
View in Google Scholar

I.E. Agbehadji et al., "Clustering Algorithm Based on Nature-inspired Approach for Energy Optimization in Heterogeneous Wireless Sensor Network", Applied Soft Computing, vol. 104, art. no. 107171, 2021. DOI: https://doi.org/10.1016/j.asoc.2021.107171
View in Google Scholar

A. Slowik and H. Kwasnicka, "Nature Inspired Methods and Their Industry Applications: Swarm Intelligence Algorithms", IEEE Transactions on Industrial Informatics, vol. 14, no. 3, pp. 1004-1015, 2017. DOI: https://doi.org/10.1109/TII.2017.2786782
View in Google Scholar

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Published

2023-09-11

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No. 3 (2023)

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How to Cite

[1]
S. S. Rao, Shilpi, and A. Kumar, “Performance Evaluation of a Zone-based Three-level Heterogeneous Clustering Protocol for WSNs”, JTIT, vol. 93, no. 3, pp. 85–93, Sep. 2023, doi: 10.26636/jtit.2023.3.1381.