Hybrid Gannet Optimization Algorithm-based Energy Efficient Cluster Routing Mechanism for extending Network Longevity in Sensor Networks

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This paper demonstrates improved network lifespan and energy stability in wireless sensor networks, highlighting a new clustering mechanism.

The proposed hybrid gannet optimization algorithm improved network lifespan by 23.48%, enhancing energy efficiency.
By minimizing energy consumption by 25.84%, the study shows significant gains in the operational efficiency of sensor nodes.
The clustering technique utilized addresses challenges linked to reduced energy consumption and node density in wireless sensor networks.
Utilizing a genetic algorithm for route selection among clusters, the method maximized packet delivery ratio by 25.68%.

Kalpana et al. (2025) studied this question.

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This paper demonstrates improved network lifespan and energy stability in wireless sensor networks, highlighting a new clustering mechanism.