Underwater Wireless Sensor Network Deployment Based on Chaotic Particle Swarm Optimization Algorithm

Shaojuan Su, Tianlin Wang


The application of particle swarm optimization algorithm in underwater wireless sensor node deployment strategy was studied. The chaotic particle swarm optimization algorithm was proposed. Set up a function variance to determine whether the particles enter the premature state. Then chaos searched and took the chaotic search optimal solution vector as the global optimization solution to guide the particles quickly jump out of local optimum, accelerate the convergence speed and to overcome the premature problem of standard particle swarm algorithm brought. The network coverage was the fitness function to optimize the deployment of nodes question. The chaotic particle swarm optimization algorithm was used to wireless sensor network node deployment strategy. The experimental results showed that this method could effectively improve the convergence speed and increase network coverage.


underwater wireless sensor network (WWSN); chaotic; particle swarm optimization; network coverage

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International Journal of Online and Biomedical Engineering (iJOE) – eISSN: 2626-8493
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