基于遗传算法的通信网络节点自适应调度方法

常规的网络节点调度方法主要以监测为主,节点传输的通信数据存在冗余问题,影响网络调度效果。因此,设计了基于遗传算法的通信网络节点自适应调度方法。选取通信网络节点簇头,确定通信网络初始化部署完成后的节点竞争半径。基于遗传算法构建通信网络节点自适应调度模型,剔除通信冗余节点,降低网络节点的调度能耗,从而实现网络节点的有效调度。采用仿真实验的方式,验证了该调度方法的调度效果更佳,能够应用于实际生活中。

The conventional network node scheduling methods mainly focus on monitoring,and the communication data transmitted by nodes have redundancy problem,which affects the network scheduling effect.Therefore,an adaptive scheduling method for communication network nodes based on genetic algorithm is designed.Select the communication network node cluster head,determine the communication network after the initial deployment of the node competition radius.Based on genetic algorithm,an adaptive scheduling model of communication network nodes is constructed,which eliminates redundant nodes and reduces the energy consumption of network nodes.The simulation experiment shows that the scheduling method has better scheduling effect and can be applied in real life.