CEIoT: A Framework for Interlinking Smart Things in the Internet of Things

Yongrui Qin, Ali Shemshadi, Quan Z. Sheng, Ali Alzubaidi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)


In the emerging Internet of Things (IoT) environment, things are interconnected but not interlinked. Interlinking relevant things offers great opportunities to discover implicit relationships and enable potential interactions among things. To achieve this goal, implicit correlations between things need to be discovered. However, little work has been done on this important direction and the lack of correlation discovery has inevitably limited the power of interlinking things in IoT. With the rapidly growing number of things that are connected to the Internet, there are increasing needs for correlations formation and discovery so as to support interlinking relevant things together effectively. In this paper, we propose a novel approach based on Multi-Agent Systems (MAS) architecture to extract correlations between smart things. Our MAS system is able to identify correlations on demand due to the autonomous behaviors of object agents. Specifically, we introduce a novel open-sourced framework, namely CEIoT, to extract correlations in the context of IoT. Based on the attributes of things our IoT dataset, we identify three types of correlations in our system and propose a new approach to extract and represent the correlations between things.We implement our architecture using Java Agent Development Framework (JADE) and conduct experimental studies on both synthetic and real-world datasets. The results demonstrate that our approach can extract the correlations at a much higher speed than the naive pairwise computation method.

Original languageEnglish
Title of host publicationAdvanced Data Mining and Applications - 12th International Conference, ADMA 2016, Proceedings
PublisherSpringer Verlag
Number of pages16
ISBN (Print)9783319495859
Publication statusPublished - 1 Jan 2016
Event12th International Conference on Advanced Data Mining and Applications - Gold Coast, Australia
Duration: 12 Dec 201615 Dec 2016
Conference number: 12
https://cs.adelaide.edu.au/~adma2016/ (Link to Conference Website )

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10086 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference12th International Conference on Advanced Data Mining and Applications
Abbreviated titleADMA 2016
CityGold Coast
Internet address


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