Low energy clustering in BAN based on fuzzy simulated evolutionary computation

Publication Type:
Journal Article
BodyNets International Conference on Body Area Networks, 2015
Issue Date:
Full metadata record
© 2015 ICST. A low energy clustering method of body area networks based on fuzzy simulated evolutionary computation is proposed in this paper. To reduce communication energy consumption, we also designed a fuzzy controller to dynamically adjust the crossover and mutation probability. Simulations are conducted by using the proposed method, the clustering methods based on the particle swarm optimization and the method based on the quantum evolutionary algorithm. Results show that the energy consumption of the proposed method decreased compared with the other two methods, which means that the proposed method significantly improves the energy efficiency.
Please use this identifier to cite or link to this item: