基于灰色预测的无线传感网络路由优化算法研究

Research on routing optimization algorithm of wireless sensor network based on grey prediction

无线传感网络路由链路节点分布混乱,导致路由算法稳定性降低,提出基于灰色预测的无线传感路由优化算法。构建无线传感器网络路由节点定位模型,实现传感器节点自主链路分层转发控制,构建无线传感节点控制模型,提高路由探测的参数识别能力;采用灰色关联预测方法,建立无线传感网络路由探测模型,根据路由探测结果,获取教务数据采集系统无线传感器网络最优节点密度分布,融合模糊度参数,构建模糊信息调度优化设计模型,定位最优自适应特征信息,实现无线传感网络路由优化设计。仿真结果表明,无线传感网络路由设计的输出稳定性较好,节点定位精度较高,传输时延较小,提高了教务数据采集系统中的无线传感器网络传输和数据分析能力。

The distribution of routing link nodes in wireless sensor networks is chaotic,which leads to a decrease in the stability of the routing algorithm.A grey prediction-based wireless sensor routing optimization algorithm is proposed.Construct a wireless sensor network routing node positioning model,realize the autonomous link hierarchical forwarding control of sensor nodes,construct a wireless sensor node control model,and improve the parameter identification ability of routing detection.The gray correlation prediction method is used to establish a wireless sensor network routing detection model,and according to the routing detection results,the optimal node density distribution of the wireless sensor network of the educational data acquisition system is obtained.Fusion of ambiguity parameters,construct a fuzzy information scheduling optimization design model,locate the optimal adaptive feature information,and realize the optimal design of wireless sensor network routing.The simulation results show that the output stability of wireless sensor network routing design using this method is better,the node positioning accuracy is higher,the transmission delay is smaller,and the ability of wireless sensor network transmission and data analysis in educational administration data acquisition system is improved.