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Open AccessArticle

A oneM2M-Based Query Engine for Internet of Things (IoT) Data Streams

1
Department of Big Data, Pusan National University, Busan 46241, Korea
2
School of Computer Science and Engineering, Pusan National University, Busan 46241, Korea
*
Author to whom correspondence should be addressed.
Sensors 2018, 18(10), 3253; https://doi.org/10.3390/s18103253
Received: 15 August 2018 / Revised: 21 September 2018 / Accepted: 25 September 2018 / Published: 27 September 2018
(This article belongs to the Special Issue Algorithm and Distributed Computing for the Internet of Things)
The new standard oneM2M (one machine-to-machine) aims to standardize the architecture and protocols of Internet of Things (IoT) middleware for better interoperability. Although the standard seems promising, it lacks several features for efficiently searching and retrieving IoT data which satisfy users’ intentions. In this paper, we design and develop a oneM2M-based query engine, called OMQ, that provides a real-time processing over IoT data streams. For this purpose, we define a query language which enables users to retrieve IoT data from data sources using JavaScript Object Notation (JSON). We also propose efficient query processing algorithms which utilizes the oneM2M architecture consisting of two nodes: (1) the IoT node and (2) the infrastructure node. IoT nodes of OMQ are mainly sensor devices execute user queries the aggregate, transform and filter operators, whereas the infrastructure node handles the join operator of user queries. Since the query processing algorithms are implemented as the hybrid infrastructure-edge processing, user queries can be executed efficiently in each IoT node rather than only in the infrastructure node. Thus, our OMQ system reduces the query processing time and the network bandwidth. We conducted a comprehensive evaluation of OMQ using a real and a synthetic data set. Experimental results demonstrate the feasibility and efficiency of OMQ system for executing queries and transferring data from each IoT node. View Full-Text
Keywords: IoT data streams; IoT data retrieval; query engine; oneM2M; hybrid infrastructure-edge processing; edge analytics IoT data streams; IoT data retrieval; query engine; oneM2M; hybrid infrastructure-edge processing; edge analytics
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Widya, P.W.; Yustiawan, Y.; Kwon, J. A oneM2M-Based Query Engine for Internet of Things (IoT) Data Streams. Sensors 2018, 18, 3253.

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