Une Approche Bio-inspirée Pour Un Routage Efficace En Énergie Dans Les Réseaux De Capteur Sans Fil

Résumé: The energy problem is one of the major issues in Wireless Sensor Networks (WSNs). Therefore, there is a need to implement energy efficient routing protocols that contribute to power consumption optimization. energy in RCSFs. The cuckoo search algorithm is one of the modern optimization techniques that can replace many traditional techniques used, where a cuckoo uses a Levy flights strategy based on how to lay eggs to extract a solution to the problem. In this work, we propose a new bio-inspired hybrid hierarchical routing protocol based on the cuckoo search algorithm named HCSGDP, to limit the high power consumption and improve the network topology through an efficient clustering mechanism and reliable. Our proposed protocol leverages the advantages of Levy flights and Gaussian distribution to improve global and local search respectively. The performance of the proposed protocol is compared to LEACH and LEACH-C protocol, and the experimental results show that HCSGDP has better performance in almost all metrics, especially in terms of power consumption.

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