Atomic Energy Optimization for Wireless Sensor Network Clustering (AEOWSNC) Protocol for Energy-Efficient Wireless Sensor Networks
Mohammed Benhadji, Mohammed Kaddi, Mohammed Omari · Engineering Technology & Applied Science Research · 2025
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.