Atomic Energy Optimization for Wireless Sensor Network Clustering (AEOWSNC) Protocol for Energy-Efficient Wireless Sensor Networks

Authors

  • Mohammed Benhadji LEESI Laboratory, Material Sciences Department, Faculty of MSMCS, University of Adrar, Adrar, 01000, Algeria
  • Mohammed Kaddi LDDI Laboratory, Faculty of MSMCS, University of Adrar, Adrar, 01000, Algeria
  • Mohammed Omari Computer Science and Engineering Department, American University of Ras Al Khaimah, United Arab Emirates
Volume: 15 | Issue: 3 | Pages: 22802-22810 | June 2025 | https://doi.org/10.48084/etasr.10631

Received: 20 February 2025 | Revised: 27 March 2025 | Accepted: 2 April 2025 | Online: 7 April 2025


Corresponding author: Mohammed Benhadji

Abstract

This paper presents AEOWSNC (Atomic Energy Optimization for Wireless Sensor Network Clustering), a novel clustering protocol for Wireless Sensor Networks (WSNs), designed to optimize energy efficiency and extend network lifetime. Inspired by Atomic Energy Optimization (AEO), the algorithm aims to address key challenges in WSNs, such as efficient energy usage, live node maintenance, and ensuring high throughput to the Base Station (BS). AEOWSNC is evaluate through a series of experiments and its performance is compared with the ones of eight well-established meta-heuristic protocols, namely LEACH, LEACH-PWO, GWOC, CGC, LEACH-SAGA, PSO-ECHs, SA-LEACH, and PSCH-CH. The results demonstrate that AEOWSNC outperforms the other protocols in terms of network lifetime, residual energy, live nodes, and throughput at the BS. The protocol achieves superior energy management, prolonging the network's operational life while maintaining a high data transmission rate.

Keywords:

WSNs, energy efficiency, network lifetime, clustering protocols, meta-heuristic algorithms, atomic energy optimization

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References

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[1]
M. Benhadji, M. Kaddi, and M. Omari, “Atomic Energy Optimization for Wireless Sensor Network Clustering (AEOWSNC) Protocol for Energy-Efficient Wireless Sensor Networks”, Eng. Technol. Appl. Sci. Res., vol. 15, no. 3, pp. 22802–22810, Jun. 2025.

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