Optimization of Wireless Body Area Networks Model in Clonal Selection Quantum Genetic Algorithm

Abstract:

The Wireless Body Area Networks models is not formal with the different facilities. The adaptive choice of the models is very important for each special user. In order to improve the model, the authors optimize the model of Wireless Body Area Networks with the quantum genetic algorithm based on clonal selection. The clonal selection quantum (CSQ) has shown the results of experiment by quantum genetic algorithm and immune clonal selection, and the rate and precision of quantum evolutionary algorithm have been better. It gives encouraging data results when we use the algorithm to the function optimization of Wireless Body Area Networks Model with the introduction of simulation.

• Periodical: Applied Mechanics and Materials (Volumes 44-47)
• Pages: 3125-3129
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.44-47.3125
• Online since: December 2010
• Authors: Huan Wang, Li Li Guo
• Keywords: Clonal Selection Quantum, Model, Optimise, Quantum Genetic Algorithm, Wireless Body Area Network (WBAN)

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