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...

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Bibliographic Details
Published in:2024 2nd International Conference on Signal Processing and Intelligent Computing (SPIC) pp. 182 - 185
Main Authors: Liu, Yue, Liang, Ying
Format: Conference Proceeding
Language:English
Published: IEEE 20.09.2024
Subjects:
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
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Summary: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