Enhanced Information Retrieval in Social Internet of Things Environment

Sungrim Kim, Joonhee Kwon
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Abstract

The Internet of Things brings promising challenges. Recently the new paradigm named Social Internet of Things has come. Social Internet of Things is one of novel approaches to integrate Internet of Things and Social Network. In Social Internet of Things environment, the amount of data is greatly increasing as it deals with much more information than ever before. This paper proposes a new information retrieval method in Social Internet of Things environment. We design a new retrieval algorithm using a levelized tiered things structure. The proposed structure is an enhanced tiered structure for supporting the social network of Internet of Thing. A scenario using our method is described. In this scenario, our method shows performance improvement of about 70 percent in the lowest level. Then several experiments are performed. The experimental results show that the proposed method's retrieval performance is better than other existing methods in Internet of Things environment.
社会物联网环境下增强的信息检索
物联网带来了充满希望的挑战。最近,一种名为社交物联网的新范式出现了。社交物联网是物联网与社交网络融合的新途径之一。在社交物联网环境下,数据量大大增加,因为它处理的信息比以往任何时候都要多。提出了一种新的社会物联网环境下的信息检索方法。我们设计了一种新的检索算法,该算法采用了一种层次化的事物结构。提出的结构是支持物联网社交网络的增强型分层结构。描述了使用我们的方法的一个场景。在这个场景中,我们的方法在最低级别上显示了大约70%的性能改进。然后进行了几个实验。实验结果表明,该方法在物联网环境下的检索性能优于现有方法。
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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