RT info:eu-repo/semantics/article
T1 A hybrid bio-inspired approach for clustering and routing in UWSNs using MPA and HGS
A1 Li, Haitao
A1 Khishe, Mohammad
A1 Hernando Gallego, Francisco
A1 Martín De Andrés, Diego
K1 Tecnología de las comunicaciones
K1 Oceanografía
K1 Inteligencia artificial
K1 Redes de ordenadores
K1 Redes de sensores inalámbricos submarinas
K1 Algoritmo del depredador marino
K1 Búsqueda de «Los juegos del hambre»
K1 Agrupación Enrutamiento
K1 1203 Ciencia de Los Ordenadores
K1 3325 Tecnología de las Telecomunicaciones
K1 3319 Tecnología Naval
AB Underwater Wireless Sensor Networks (UWSNs) encounter serious challenges due to dynamic topology, energy constraints, and high latency underwater communication. Existing methods for clustering and routing often fail to strike an optimal balance between data delivery reliability, energy efficiency, and latency reduction. This paper overcomes these shortcomings by developing a hybrid model that integrates the Hunger Games Search (HGS) and Marine Predator Algorithm (MPA) for improved clustering and routing in UWSNs. The MPA was chosen due to its stability in selecting the first sensors/cluster heads and creating the clusters, drawing inspiration from the foraging strategies of marine predators, which guides it extensively in the balance of exploration and exploitation. Simulations demonstrate that the proposed method achieves significantly better results than classical methods. In particular, the HGS-MPA framework consumes 26.6 % less energy than GWO-PSO, increasing network lifetime by 22.1 % (FINOD) and 15.8 % (HANOD). The packet delivery ratio is improved by 3.1 % against the following best-performing method, reaching 92.4 %. A statistical test performed with ANOVA showed that these improvements are statistically significant at P < 0.001. The results reinforce how the HGS-MPA framework would help improve energy efficiency, network lifetime, and communication reliability in UWSN systems.
PB Elsevier
SN 2210-5379
YR 2025
FD 2025
LK https://uvadoc.uva.es/handle/10324/83814
UL https://uvadoc.uva.es/handle/10324/83814
LA eng
NO Sustainable Computing: Informatics and Systems Volume, 2025, vol. 46, artículo 101108.
NO Producción Científica
DS UVaDOC
RD 28-mar-2026