摘要
良好的动力载波传感控制网络通信质量可以保障传感控制网络的稳定运行。在动力载波传感控制网络通信中,信号在传输过程中会产生成反射、驻波、谐振,导致信号发射机和接收机的本地震荡频率间存在频率偏差。传统方法是在建立精确的震荡频率基础上,通过插入网络通信节点对网络通信优化,导致出现造成通信效率低的问题。提出了基于改进遗传算法的动力载波传感控制网络通优化方法。利用遗传算法对动力载波传感控制网络中所有的通信节点和通信路径进行全局搜索,将遗传算法与蚁群算法进行有效的融合,并利用融合后算法全局寻优的特性进行动力载波传感控制网络的组网,使其产生新的抗体,利用新抗体的交叉操作促进算法快速求解,完成了动力载波传感控制网络通信优化模型的建立。仿真结果证明,上述方法精准性强,且能够满足动力载波传感控制网络通信优化模型建立的实时要求。
A communication optimization method for power carrier sensory control network based on improved genetic algorithm is proposed.The genetic algorithm is used to search all the communication nodes and communication routes in the power carrier sensory control network.The genetic algorithm and ant colony algorithm are effectively integrated,and the global optimization character of the integrated algorithm is used to construct the power carrier sensory controlling network.A new antibody is produced,and crossover operation of the new antibody is carried out to finish establishment of the communication optimization model for power carrier sensory control network.The simulation results show that the proposed method has good modeling accuracy for power carrier sensory control network communication.
出处
《计算机仿真》
CSCD
北大核心
2016年第5期277-279,314,共4页
Computer Simulation
关键词
遗传算法
路劲寻优
蚁群算法
Genetic algorithm
Path optimization
Ant colony algorithm
