Adaptive FCM Clustering Routing Algorithm Based on PSO Optimization

To solve the problems of large node energy consumption and missing data transmission path in Marine sensor networks, a clustering routing algorithm utilizing particle swarm optimization (PSO-DAFCA) was introduced. The algorithm uses fuzzy C-means method of particle swarm optimization to optimize clu...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	2024 2nd International Conference on Signal Processing and Intelligent Computing (SPIC) s. 182 - 185
Hlavní autoři:	Liu, Yue, Liang, Ying
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 20.09.2024
Témata:	Clustering algorithms Clustering routing algorithm Data communication Energy consumption Fuzzy C-means Heuristic algorithms Marine wireless sensor network Particle swarm optimization Routing Signal processing algorithms Simulation Wireless communication Wireless sensor networks
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Popis
Shrnutí:	To solve the problems of large node energy consumption and missing data transmission path in Marine sensor networks, a clustering routing algorithm utilizing particle swarm optimization (PSO-DAFCA) was introduced. The algorithm uses fuzzy C-means method of particle swarm optimization to optimize cluster head selection and cluster member configuration, and selects the best cluster head by dynamically updating cluster center. During the data transmission phase, combined with the global search ability of cat swarm optimization algorithm, the path evaluation function based on energy and distance parameters is introduced to determine the optimal transmission route. Simulation results indicate that the PSO-DAFCA algorithm can enhance network energy efficiency, prolong network lifespan, and improve the real-time accuracy of marine environmental monitoring.
DOI:	10.1109/SPIC62469.2024.10691493