RFID data fusion algorithm based on spatio-temporal semantics in internet of things

Yuan Lingyun, Han Lijing, Zhou Manman, Zhu Mingli
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引用次数: 2

Abstract

Information sensing and processing of Internet of things (IoT) is the most basic function, which is of special significance to the spatio-temporal characteristics. Used spatio-temporal correlation of RFID data, based on the perception data semantic representation, an IoT RFID data fusion processing algorithm based on spatio-temporal semantics has been proposed. Firstly, the data of the same time, different space position is used for spatial fusion processing, then the data of the same equipment, different time is used for time fusion processing in the order of time. The experiment results indicate that our algorithm can effectively remove redundancy data, reduce the amount of data and relieve the waste of system resource. And the proposed method has a certain feasibility and validity.
物联网中基于时空语义的RFID数据融合算法
信息感知与处理是物联网最基本的功能,对物联网的时空特征有着特殊的意义。利用RFID数据的时空相关性,在感知数据语义表示的基础上,提出了一种基于时空语义的IoT RFID数据融合处理算法。首先将同一时间、不同空间位置的数据进行空间融合处理,然后将同一设备、不同时间的数据按时间顺序进行时间融合处理。实验结果表明,该算法能够有效地去除冗余数据,减少数据量,减轻系统资源的浪费。该方法具有一定的可行性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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