CAJ | 학술논문

为了解决无线传感器网络拥塞引起的丢包率高和网络吞吐率过低，从而引起网络能量有效性和服务质量QoS降低的问题，提出了一种基于改进PI主动队列管理模型和量子粒子群（ Quantum-behaved par-ticle swarm optimization，QPSO）的拥塞控制方法。首先定义了改进的PI主动队列管理模型，然后为了对PI模型进行优化，采用改进的多种群量子粒子群算法对PI主动队列管理模型中的参数优化，并对该算法进行了描述，从而得到优化的PI控制模型。最后定义了多种群量子粒子群算法和PI主动队列模型对网络拥塞进行控制的具体算法。实验结果表明：该方法能有效实现WSN的拥塞控制，与其它方法相比，具有较低的数据丢包率和较大的网络吞吐率。
위료해결무선전감기망락옹새인기적주포솔고화망락탄토솔과저，종이인기망락능량유효성화복무질량QoS강저적문제，제출료일충기우개진PI주동대렬관리모형화양자입자군（ Quantum-behaved par-ticle swarm optimization，QPSO）적옹새공제방법。수선정의료개진적PI주동대렬관리모형，연후위료대PI모형진행우화，채용개진적다충군양자입자군산법대PI주동대렬관리모형중적삼수우화，병대해산법진행료묘술，종이득도우화적PI공제모형。최후정의료다충군양자입자군산법화PI주동대렬모형대망락옹새진행공제적구체산법。실험결과표명：해방법능유효실현WSN적옹새공제，여기타방법상비，구유교저적수거주포솔화교대적망락탄토솔。
Aiming at the wireless sensor network having the defect of low throughput and high packet drop rate,a congestion control method based on PI reactive management model and quantum particle swarm algorism was pro-posed. Firstly,the improved PI reactive management model was defined and equations for the packet drop rate and queue length were given,then in order to optimize the PI model,the quantum particle swarm algorithm was used to obtain the PI parameters,the algorithm is proposed to specify the process of optimizing the parameters,so the opti-mized model is proposed. Finally,the specific algorism based on PI reactive management model and quantum parti-cle swarm algorism used for congestion control was defined. The simulation experiment shows the method in this pa-per can realize the WSN congestion control,and compared with the other methods,it has lower data packet dropping rate and larger throughput rate.