多节点多车联动下的物联网标签动态识别仿真  

Lot Tag Dynamic Recognition Simulation of Multiple-Node Multiple-Vehicle Communication

作　　者：苏静[1] 谭毓银[1] 

机构地区：[1]海南大学信息科学技术学院,海南海口570228

出　　处：《计算机仿真》2014年第5期319-322,共4页Computer Simulation

基　　金：2012海南省自然科学基金(612127);2013海南省自然科学基金(613152)

摘　　要：研究物联网框架下车辆通信中的标签优化识别问题。在多车多节点物联网标签通信中,多车辆同时运动,车辆中途遇阻随机性很难约束,车辆节点间动态距离变化很大。传统的物联网框架下的标签通信中,需要建立固定的距离模型,根据识别距离完成多节点通信,一旦距离不可控,会造成识别错误,物联网内部节点通信失败。为解决上述问题,提出基于集成动态识别模型的多节点多车通信中物联网标签动态识别方法。计算多节点多车通信中的多普勒频移,根据获取的结果排除多普勒频移干扰。建立集成动态识别模型,从而完成多节点多车通信中的物联网标签动态识别。实验结果表明,利用改进算法进行物联网标签动态识别,能够提高识别的准确性,从而提高通信效率。The optimization identification of lOT tag for vehicle communication was studied in this article. In multi -vehicle and multiple nodes communication networking of lOT tag, the multiple vehicles moved simultaneously, thus it is difficult to constraint the randomness of vehicle which meets resistance, the distance between the vehicles nodes dynamically changes greatly. To solve these problems, we proposed a dynamic reeosnition of lOT tag method for multi-node and multi-vehicle communication networking based on integrated dynamic identification model. Firstly, the Doppler shift of multi-node and multi-vehicle communication was calculated, and then according to the obtained results of the Doppler shift, the interference can be excluded. Finally, the model of an integrated dynamic i- dentification was established to complete the dynamic identification of lOT tag for multi-node and multi-vehicle communication. Experimental results show that the improved algorithm for dynamic identification of lOT tag can increase the recognition accuracy, thus improving the efficiency of communication.

关 键 词：通信 物联网 标签识别 集成动态识别模型 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]