海量感知数据高效传输技术  

Research on Mass Sensor Data Efficient Transmission Technology

作　　者：李静[1] 王原会[2] 孔祥善[2] 鲁旭涛[1] 

机构地区：[1]中北大学计算机与控制工程学院,太原030051 [2]北方自动控制技术研究所,太原030006

出　　处：《火力与指挥控制》2014年第9期105-107,共3页Fire Control & Command Control

基　　金：国家自然基金资助项目(青年科学基金项目:51305409)

摘　　要：现有感知数据传输模型存在能量消耗大、网络生存周期短、适用范围窄、收敛性弱以及实际应用性差的问题,为了实现大面积感知数据高效传输,提出了基于数据关联度的模糊自适应融合算法,建立了自适应网络模型。感知节点发送的数据经汇聚节点、中继节点转发时,通过自适应网络模型,根据感知数据关联度,动态修正输入参数加权系数从而改变控制规则,再用优化的控制规则进行参数调整,融合后的数据再传送到上一级平台,实验表明了该算法能明显改善海量感知数据传输性能。According to the data transfer requirements,which focus on large energy consumption, short network life cycle,narrow scope range of application,weak convergence,as well as the poor practical applications .In order to achieve the widespread sensor data efficient transmission,the fuzzy adaptive fusion algorithm based on the data relevance is proposed,adaptive network model is established. Sensor node data is forward by gathering and relay node,by adaptive network model, according to sensor data relevance,input parameters weighting coefficient is changed dynamically and in doing so change control rules,finally achieved parameter adjustment by optimizing control rules, fused data is transferred to the higher platform. The experiment shows that the algorithm can greatly improve the performance of mass sensor data transmission.

关 键 词：海量数据 压缩感知 数据融合 高效传输 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]