CAJ | 학술논문

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。
연구물련망광가하차량통신중적표첨우화식별문제。재다차다절점물련망표첨통신중，다차량동시운동，차량중도우조수궤성흔난약속，차량절점간동태거리변화흔대。전통적물련망광가하적표첨통신중，수요건립고정적거리모형，근거식별거리완성다절점통신，일단거리불가공，회조성식별착오，물련망내부절점통신실패。위해결상술문제，제출기우집성동태식별모형적다절점다차통신중물련망표첨동태식별방법。계산다절점다차통신중적다보륵빈이，근거획취적결과배제다보륵빈이간우。건립집성동태식별모형，종이완성다절점다차통신중적물련망표첨동태식별。실험결과표명，이용개진산법진행물련망표첨동태식별，능구제고식별적준학성，종이제고통신효솔。
The optimization identification of IOT tag for vehicle communication was studied in this article. In multi-vehicle and multiple nodes communication networking of IOT 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 recognition of IOT tag method for multi-node and multi-vehicle communication networking based on integrated dynamic identification model. First-ly, the Doppler shift of multi-node and multi-vehicle communication was calculated, and then according to the ob-tained 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 IOT tag for multi-node and multi-vehicle com-munication. Experimental results show that the improved algorithm for dynamic identification of IOT tag can increase the recognition accuracy, thus improving the efficiency of communication.