基于物联网的机场桥载设备监控网络优化设计  

Optimization designs of IoT-based airport bridge loading equipment monitoring system

作　　者：陈维兴[1] 林家泉[1] 钱杰[1] 孙毅刚[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》2015年第3期561-566,共6页Computer Engineering and Design

基　　金：国家自然科学基金项目(U1433107);中央高校基本科研业务中国民航大学专项基金项目(3122013C015)

摘　　要：针对民航桥载设备监控管理系统BLEMAS在机场停机坪现场测试中暴露的网络延迟问题,对该系统物联网架构中MAC层的碰撞退避算法进行优化。采用改进截断二指数退避算法ITBEB,根据网络环境的多方面因素,对CSMA/CA的退避指数BE进行动态调节,使网络节点合理设置随机退避时间,减少退避饱和,充分利用空闲信道,达到数据快速传输的目的。利用OPNET软件对BLEMAS建模仿真,仿真结果表明,相比系统原有MAC层退避方法 BEB,ITBEB算法在网络时延和吞吐量等网络性能上均具有优越性。For the network latency problem of bridge loading equipment monitoring and administering system（BLEMAS）exposed on the field test at airport apron,the Mac layer collision backoff algorithm of this things system was optimized.The improved truncated two exponential backoff（ITBEB）algorithm was used,which adjusted the backoff exponential（BE）of CAMA/CA on the basis of the multiaspect factor of network environment,the targets of setting reasonable random backoff time of network nodes were achieved,the saturated backoff was reduced,the idle channel was made full use of and fast transmission of data was realized.Eventually,by using OPNET simulation modeling software,the simulation was carried out.The results show that the ITBEB algorithm has advantages in the aspects of network latency and throughput compared with the original system MAC layer backoff methods.

关 键 词：民航设备 物联网 碰撞退避 网络时延 MAC层 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]