Le Yuan,Yuanfeng Li,Qi Zhang,Furong Chai,Xiangjun Xin,Jinxi Qian,Fu Wang,Feng Tian,Qinghua Tian,Meng Sun
标识
DOI:10.1109/icicn59530.2023.10393208
摘要
This paper proposes a bee colony optimization RWA algorithm based on window classification strategy. The algorithm can use the window classification strategy for node selection, and adaptively adjust the fitness function for different services to evaluate the existing feasible solutions. Simulation results show that this algorithm has superior performance in terms of blocking rate and delay.