桥载监控网络路由中基于分簇的数据融合算法  

Data fusion algorithm based on clustering in bridge-borne equipment monitoring network

作　　者：林家泉[1] 张天娇[1] 陈维兴[1] 

机构地区：[1]中国民航大学航空自动化学院,天津300300

出　　处：《计算机工程与设计》2016年第5期1125-1128,1150,共5页Computer Engineering and Design

基　　金：国家自然科学基金委员会与中国民用航空局联合基金项目(U1433107);中央高校基本科研业务中国民航大学专项基金项目(20001843)

摘　　要：针对当前民航推行的"桥载设备替代飞机APU"中桥载设备监控网络出现的节点能耗高过早死亡、网络易发生拥塞且生命周期短的问题,引入一种基于分簇的数据融合算法。通过评估节点的簇头容量确定候选簇头,权衡节点路径、剩余能量以及数据相关性等参数将父节点过滤出来,计算聚集函数进行数据融合,去除不必要的冗余数据,达到减少失真和网络拥塞、提高数据收集和传输效率、降低网络开销的目的。仿真结果表明,该方法与原有LEACH算法相比能更好地利用有限的带宽资源提高传输数据量和网络生命周期,保证网络监控系统的可靠性。In view of the current implementation of the‘bridge-borne equipment bridge to replace the APU＇in the civil aviation,nodes of the monitoring network are carried with high premature death,and the network is in short life.A data fusion algorithm based on clustering was proposed for the problem.The capacity of cluster head nodes was determined to select candidate nodes,the best node path,residual energy and data correlation were chosen to filter out the parent node.Aggregate functions were computed for data fusion to remove unnecessary redundant data.The purpose of proposing the algorithm is to reduce distortion and network congestion,improve data collection and transmission efficiency and reduce network overhead.The simulation results show that compared to the original LEACH algorithm,the method can be better used if bandwidth is limited,and it can increase the amount of transmission data and network life,ensure the reliability of the monitoring network system.

关 键 词：桥载设备 无线传感器网络 分簇 数据融合 能量消耗 拥塞控制 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]