摘要
为了提高动态无线传感网络中数据的延迟控制能力,降低数据的输出时延,提出基于容积Kalman滤波的动态无线传感网络中数据低延迟控制算法,构建动态无线传感网络传输的信道模型,采用匹配干扰抑制方法进行动态无线传感网络数据传输过程中的码间干扰抑制,采用最短路径寻优方法进行动态无线传感网络传输过程中的路由探测协议设计,建立动态无线传感网络的数据传输时延分配模型,采用容积Kalman滤波方法进行动态无线传感网络传输过程中的时延补偿,降低动态无线传感网络的输出时延,实现动态无线传感网络的低时延控制。仿真结果表明,采用该方法进行动态无线传感网络时延控制的误差较小,均衡性较好,提高了动态无线传感网络数据传输的实时性。
In order to improve the delay control ability of data in dynamic wireless sensor network and reduce the output delay of data,a low delay control algorithm of data in dynamic wireless sensor network based on volume Kalman filter is proposed,the channel model of output transmission of dynamic wireless sensor network is constructed,and the matching interference suppression method is used to suppress the intersymbol interference in the process of data transmission in dynamic wireless sensor network.The shortest path optimization method is used to design the routing detection protocol in the transmission process of dynamic wireless sensor network.The data transmission delay allocation model of dynamic wireless sensor network is established.The volume Kalman filtering method is used to compensate the delay in the transmission process of dynamic wireless sensor network,the output delay of dynamic wireless sensor network is reduced,and the low delay control of dynamic wireless sensor network is realized.The simulation results show that the error of dynamic wireless sensor network delay control using this method is small,the balance is well behaved,and the real-time performance of dynamic wireless sensor network data transmission is improved.
作者
韩高峰
HAN Gao-feng(Anhui Wonder University of Information Engineering,Hefei 230032,China)
出处
《宜春学院学报》
2019年第12期36-40,共5页
Journal of Yichun University
基金
2018年安徽省教育厅省级质量工程重点项目“新工科背景下软件课程教学改革探索以《Android移动应用开发》课程为例”(2018jyxm1394)
2019年度校级重点科研项目“基于ZigBee协议的无线传感网络能耗监测研究”(立项编号:XZR2019A06)
