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Journal of Intelligent Systems and Internet of Things

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Journal of Intelligent Systems and Internet of Things
Full Length Article

Volume 17 • Issue 2 • PP: 133-151 • 2025

An Efficient Wireless Sensor Network Developed Election Protocol for Extendable Lifetime

Aya A. Ramadan 1*
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,
Marwa M. Eid 2
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,
El-Sayed S. A. Said 3
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,
Shereen H. Ali 1
mail
,
Mohamed Yasin I. Afifi 3
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1Department of Communications and Electronics Engineering, Delta Higher Institute for Engineering and Technology, Mansoura, Egypt
2Faculty of Artificial Intelligence, Delta University for Science and Technology, Mansoura 35712, Egypt; Jadara University Research Center, Jadara University, Jordan
3Department of Electrical Engineering, Faculty of Engineering, Al-Azhar University, Egypt
* Corresponding Author.
DOI https://doi.org/10.54216/JISIoT.170210
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Received: January 01, 2025 Revised: March 01, 2025 Accepted: May 24, 2025
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Abstract

Wireless sensor networks (WSNs) are made up of thousands of sensor nodes that are distributed in an area where their energy is limited. To overcome the issue of energy consumption. This paper study different deployment configuration as well as evaluating the two different clustering-based routing protocols. This work describes a hybrid distance, energy, and zonal SEP (HDEZ-SEP), which combines the strengths of the Distance and Energy-Aware Stable Election Routing Protocol (DE-SEP) and Zone-Based Stable Election Protocol (Z-SEP) to improve WSN energy efficiency and longevity. The suggested HDEZ-SEP was executed and compared to other protocols, including DE-SEP and Z-SEP. Using the MATLAB R2022b simulator; we assess the suggested protocol and contrast it with the others. According to the simulation results, the overall performance is improved. This study shows how hybrid techniques can effectively optimize data transmission and energy use in WSNs.

Keywords

Base Station Wireless Sensor Networks Routing protocols LEACH SEP Cluster head

References

[1]       H. Zhou, K. Jiang, X. Liu, X. Li, and V. C. M. Leung, "Deep reinforcement learning for energy-efficient computation offloading in mobile-edge computing," IEEE Internet Things J., vol. 9, no. 2, pp. 1517–1530, 2021, doi: 10.1109/JIOT.2021.3091142.

 

[2]       T. M. Behera, S. K. Mohapatra, U. C. Samal, M. S. Khan, M. Daneshmand, and A. H. Gandomi, "I-SEP: An improved routing protocol for heterogeneous WSN for IoT-based environmental monitoring," IEEE Internet Things J., vol. 7, no. 1, pp. 710–717, 2020, doi: 10.1109/JIOT.2019.2940988.

 

[3]       A. Tadele, V. Tekulapally, D. C. Kejela, K. T. Megersa, S. T. Daka, and K. A. Jember, "Optimized cluster routing protocol with energy-sustainable mechanisms for wireless sensor networks," IEEE Access, vol. 12, pp. 99661–99671, 2024, doi: 10.1109/ACCESS.2024.3429645.

 

[4]       N. M. Shagari, M. Y. I. Idris, R. B. Salleh, I. B. Ahmedy, G. Murtaza, and H. A. Shehadeh, "Heterogeneous energy and traffic aware sleep-awake cluster-based routing protocol for wireless sensor network," IEEE Access, vol. 8, pp. 12232–12252, 2020, doi: 10.1109/ACCESS.2020.2965206.

 

[5]       A.-Q. Antar, S. Hamed, A. B. Nasser, A. H. Guroob, A.-M. H. Y. Saad, N. A. M. Alduais, and N. Khatri, "TEMSEP: Threshold-oriented and energy-harvesting enabled multilevel SEP protocol for improving energy-efficiency of heterogeneous WSNs," IEEE Access, vol. 9, pp. 154975–155002, 2021, doi: 10.1109/ACCESS.2021.3128507.

 

[6]       Hossan and J. Islam, "Secondary cluster head based SEP in heterogeneous WSNs for IoT applications," IET Commun., vol. 18, no. 11, pp. 679–688, 2024, doi: 10.1049/cmu2.12780.

 

[7]       T. M. Behera, U. C. Samal, S. K. Mohapatra, M. S. Khan, B. Appasani, N. Bizon, and P. Thounthong, "Energy-efficient routing protocols for wireless sensor networks: Architectures, strategies, and performance," Electronics, vol. 11, no. 15, p. 2282, 2022, doi: 10.3390/electronics11152282.

 

[8]       G. S. Bhukya and S. C. Prasad, "An energy efficient secure routing scheme using LEACH protocol in WSN for IoT networks," Meas. Sensors, vol. 30, p. 100883, 2023, doi: 10.1016/j.measen.2023.100883.

 

[9]       Panchal, L. Singh, and R. K. Singh, "RCH-LEACH: Residual energy based cluster head selection in LEACH for wireless sensor networks," in Proc. Int. Conf. Electr. Electron. Eng. (ICE3), 2020, doi: 10.1109/ICE348803.2020.9122962.

 

[10]    Panchal and R. K. Singh, "EOCGS: Energy efficient optimum number of cluster head and grid head selection in wireless sensor networks," Telecommun. Syst., vol. 78, pp. 1–13, 2021, doi: 10.1007/s11235-021-00782-1.

 

[11]    S. Panbude, P. Deshpande, B. Iyer, and A. B. Nandgaonkar, "Enhancing cognitive radio WSN communication through cluster head selection technique," Eng., Technol. Appl. Sci. Res., vol. 14, no. 2, pp. 13347–13351, 2024, doi: 10.48084/etasr.6803.

 

[12]    D. Mahmood, N. Javaid, S. Mahmood, S. U. Qureshi, A. M. Memon, and T. Zaman, "MODLEACH: A variant of LEACH for WSNs," in Proc. 8th Int. Conf. Broadband Wireless Comput., Commun. Appl., 2013, pp. 158–163.

 

[13]    D. Singh and S. K. Nayak, "Enhanced modified LEACH (EMODLEACH) protocol for WSN," in Proc. Int. Symp. Adv. Comput. Commun. (ISACC), 2015, pp. 328–333, doi: 10.1109/ISACC.2015.7377364.

 

[14]    F. A.-B. Mohammed, N. Mekky, H. H. Suleiman, and N. A. Hikal, "Sectored leach (s-leach): An enhanced leach for wireless sensor network," IET Wireless Sensor Syst., vol. 12, no. 2, pp. 56–66, 2022, doi: 10.1049/wss2.12036.

 

[15]    G. Smaragdakis, I. Matta, and A. Bestavros, "SEP: A stable election protocol for clustered heterogeneous wireless sensor networks," Boston Univ., Boston, MA, USA, Tech. Rep., 2004, doi: 10.1109/HICSS.2000.926982.

 

[16]    D. Singh and C. K. Panda, "Performance analysis of modified stable election protocol in heterogeneous WSN," in Proc. Int. Conf. Electr., Electron, Signals, Commun. Optim. (EESCO), 2015, pp. 1–5, doi: 10.1109/EESCO.2015.7253803.

 

[17]    Naeem, A. R. Javed, M. Rizwan, S. Abbas, J. C.-W. Lin, and T. R. Gadekallu, "DARE-SEP: A hybrid approach of distance aware residual energy-efficient SEP for WSN," IEEE Trans. Green Commun. Netw., vol. 5, no. 2, pp. 611–621, 2021, doi: 10.1109/TGCN.2021.3067885.

 

[18]    Kashaf, N. Javaid, Z. A. Khan, and I. A. Khan, "TSEP: Threshold-sensitive stable election protocol for WSNs," in Proc. 10th Int. Conf. Frontiers Inf. Technol., 2012, pp. 164–168, doi: 10.1109/FIT.2012.37.

 

[19]    S. Kumar, S. K. Verma, and A. Kumar, "Enhanced threshold sensitive stable election protocol for heterogeneous wireless sensor network," Wirel. Pers. Commun., vol. 85, no. 4, pp. 2643–2656, 2015, doi: 10.1007/s11277-015-2925-x.

 

[20]    Hossan and P. K. Choudhury, "DE-SEP: Distance and energy aware stable election routing protocol for heterogeneous wireless sensor network," IEEE Access, vol. 10, pp. 55726–55738, 2022, doi: 10.1109/ACCESS.2022.3177190.

 

[21]    S. Faisal, N. Javaid, A. Javaid, M. A. Khan, S. H. Bouk, and Z. A. Khan, "Z-SEP: Zonal stable election protocol for wireless sensor networks," arXiv, preprint arXiv: 1303.5364, 2013.

 

[22]    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: 10.1109/ACCESS.2019.2899752.

 

[23]    Z. Nurlan, T. Zhukabayeva, and M. Othman, "EZ-SEP: Extended Z-SEP routing protocol with hierarchical clustering approach for wireless heterogeneous sensor network," Sensors, vol. 21, no. 4, p. 1021, 2021, doi: 10.3390/s21041021.

 

[24]    J. He et al., "Cross-layer routing protocol based on channel quality for underwater acoustic communication networks," Appl. Sci., vol. 14, no. 21, p. 9778, 2024, doi: 10.3390/app14219778.

 

[25]    S. Mahankali, R. Kesavan, and S. A. Kalaiselvan, "Region based cluster aided routing protocol for environment monitoring in heterogeneous wireless sensor networks," J. Adv. Res. Appl. Sci. Eng. Technol., vol. 47, no. 1, pp. 180–198, 2024, doi: 10.37934/araset.47.1.180198.

 

[26]    M. A. Khan, "Clustering with dynamic route adjustment and fuzzy based update cycle in wireless sensor networks with sink mobility," e-Prime - Adv. Electr. Eng., Electron. Energy, vol. 12, p. 100971, 2025, doi: 10.1016/j.prime.2025.100971.

 

[27]    S. El Khediri, A. Selmi, R. U. Khan, T. Moulahi, and P. Lorenz, "Energy efficient cluster routing protocol for wireless sensor networks using hybrid metaheuristic approaches," Ad Hoc Netw., vol. 158, p. 103473, 2024, doi: 10.1016/j.adhoc.2024.103473.

 

[28]    Z. Wang, Z. Cao, and H. Jia, "An adaptive moth flame optimization algorithm with historical flame archive strategy and its application," Soft Comput., vol. 27, no. 17, pp. 12155–12180, 2023, doi: 10.1007/s00500-023-08416-1.

 

[29]    S. S. A. Sibi and L. S. P. Annabel, "Network lifetime improvement in wireless sensor networks using energy-efficient bat-moth flame optimization technique," Sci. Rep., vol. 15, p. 18065, 2025, doi: 10.1038/s41598-025-88550-y.

 

[30]    F. E. Abadi et al., "RLBEEP: Reinforcement-learning-based energy efficient control and routing protocol for wireless sensor networks," IEEE Access, vol. 10, pp. 44123–44135, 2022, doi: 10.1109/ACCESS.2022.3167058.

 

[31]    Q. W. Ahmed et al., "AI-based resource allocation techniques in wireless sensor internet of things networks in energy efficiency with data optimization," Electronics, vol. 11, no. 13, p. 2071, 2022, doi: 10.3390/electronics11132071.

 

[32]    Y. M. Raghavendra and U. B. Mahadevaswamy, "Energy efficient routing in wireless sensor network based on mobile sink guided by stochastic hill climbing," Int. J. Electr. Comput. Eng., vol. 10, no. 6, pp. 5965–5973, 2020, doi: 10.11591/ijece.v10i6.pp.5965-5973.

 

[33]    W. Osamy, S. Ahmed, and A. M. Khedr, "An information entropy based-clustering algorithm for heterogeneous wireless sensor networks," Wirel. Netw., vol. 26, no. 3, pp. 1869–1886, 2020, doi: 10.1007/s11276-018-1868-z.

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Ramadan, Aya A., Eid, Marwa M., Said, El-Sayed S. A., Ali, Shereen H., Afifi, Mohamed Yasin I.. "An Efficient Wireless Sensor Network Developed Election Protocol for Extendable Lifetime." Journal of Intelligent Systems and Internet of Things, vol. Volume 17, no. Issue 2, 2025, pp. 133-151. DOI: https://doi.org/10.54216/JISIoT.170210
Ramadan, A., Eid, M., Said, E., Ali, S., Afifi, M. (2025). An Efficient Wireless Sensor Network Developed Election Protocol for Extendable Lifetime. Journal of Intelligent Systems and Internet of Things, Volume 17(Issue 2), 133-151. DOI: https://doi.org/10.54216/JISIoT.170210
Ramadan, Aya A., Eid, Marwa M., Said, El-Sayed S. A., Ali, Shereen H., Afifi, Mohamed Yasin I.. "An Efficient Wireless Sensor Network Developed Election Protocol for Extendable Lifetime." Journal of Intelligent Systems and Internet of Things Volume 17, no. Issue 2 (2025): 133-151. DOI: https://doi.org/10.54216/JISIoT.170210
Ramadan, A., Eid, M., Said, E., Ali, S., Afifi, M. (2025) 'An Efficient Wireless Sensor Network Developed Election Protocol for Extendable Lifetime', Journal of Intelligent Systems and Internet of Things, Volume 17(Issue 2), pp. 133-151. DOI: https://doi.org/10.54216/JISIoT.170210
Ramadan A, Eid M, Said E, Ali S, Afifi M. An Efficient Wireless Sensor Network Developed Election Protocol for Extendable Lifetime. Journal of Intelligent Systems and Internet of Things. 2025;Volume 17(Issue 2):133-151. DOI: https://doi.org/10.54216/JISIoT.170210
A. Ramadan, M. Eid, E. Said, S. Ali, M. Afifi, "An Efficient Wireless Sensor Network Developed Election Protocol for Extendable Lifetime," Journal of Intelligent Systems and Internet of Things, vol. Volume 17, no. Issue 2, pp. 133-151, 2025. DOI: https://doi.org/10.54216/JISIoT.170210
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