Device Identification Interoperability in Heterogeneous IoT Platforms
With the continuous improvement of Internet of Things (IoT) technologies, various IoT platforms are under development. However, each IoT platform is developed based on its own device identification system. That is, it is challenging to identify each sensor device between heterogeneous IoT platforms...
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Format: | Article |
Language: | English |
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MDPI AG
2019-03-01
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Series: | Sensors |
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Online Access: | https://www.mdpi.com/1424-8220/19/6/1433 |
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author | Jahoon Koo Se-Ra Oh Young-Gab Kim |
author_facet | Jahoon Koo Se-Ra Oh Young-Gab Kim |
author_sort | Jahoon Koo |
collection | DOAJ |
description | With the continuous improvement of Internet of Things (IoT) technologies, various IoT platforms are under development. However, each IoT platform is developed based on its own device identification system. That is, it is challenging to identify each sensor device between heterogeneous IoT platforms owing to the resource request format (e.g., device identifier) varying between platforms. Moreover, despite the considerable research focusing on resource interoperability between heterogeneous IoT platforms, little attention is given to sensor device identification systems in diverse IoT platforms. In order to overcome this problem, the current work proposes an IoT device name system (DNS) architecture based on the comparative analysis of heterogeneous IoT platforms (i.e., oneM2M, GS1 ‘Oliot’, IBM ‘Watson IoT’, OCF ‘IoTivity’, FIWARE). The proposed IoT DNS analyzes and translates the identification system of the device and resource request format. In this process, resource requests between heterogeneous IoT platforms can be reconfigured appropriately for the resources and services requested by the user, and as a result, users can use heterogeneous IoT services. Furthermore, in order to illustrate the aim of the proposed architecture, the proposed IoT DNS is implemented and tested on a microcomputer. The experimental results show that a oneM2M-based device successfully performs a resource request to a Watson IoT and FIWARE sensor devices. |
first_indexed | 2024-04-14T01:19:58Z |
format | Article |
id | doaj.art-bf0c79ff78e941b484326c3e19528a99 |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-04-14T01:19:58Z |
publishDate | 2019-03-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
spelling | doaj.art-bf0c79ff78e941b484326c3e19528a992022-12-22T02:20:40ZengMDPI AGSensors1424-82202019-03-01196143310.3390/s19061433s19061433Device Identification Interoperability in Heterogeneous IoT PlatformsJahoon Koo0Se-Ra Oh1Young-Gab Kim2Department of Computer and Information Security, Sejong University, Seoul 05006, KoreaDepartment of Computer and Information Security, Sejong University, Seoul 05006, KoreaDepartment of Computer and Information Security, Sejong University, Seoul 05006, KoreaWith the continuous improvement of Internet of Things (IoT) technologies, various IoT platforms are under development. However, each IoT platform is developed based on its own device identification system. That is, it is challenging to identify each sensor device between heterogeneous IoT platforms owing to the resource request format (e.g., device identifier) varying between platforms. Moreover, despite the considerable research focusing on resource interoperability between heterogeneous IoT platforms, little attention is given to sensor device identification systems in diverse IoT platforms. In order to overcome this problem, the current work proposes an IoT device name system (DNS) architecture based on the comparative analysis of heterogeneous IoT platforms (i.e., oneM2M, GS1 ‘Oliot’, IBM ‘Watson IoT’, OCF ‘IoTivity’, FIWARE). The proposed IoT DNS analyzes and translates the identification system of the device and resource request format. In this process, resource requests between heterogeneous IoT platforms can be reconfigured appropriately for the resources and services requested by the user, and as a result, users can use heterogeneous IoT services. Furthermore, in order to illustrate the aim of the proposed architecture, the proposed IoT DNS is implemented and tested on a microcomputer. The experimental results show that a oneM2M-based device successfully performs a resource request to a Watson IoT and FIWARE sensor devices.https://www.mdpi.com/1424-8220/19/6/1433Internet of Thingsdevice identificationinteroperabilityIoT platform |
spellingShingle | Jahoon Koo Se-Ra Oh Young-Gab Kim Device Identification Interoperability in Heterogeneous IoT Platforms Sensors Internet of Things device identification interoperability IoT platform |
title | Device Identification Interoperability in Heterogeneous IoT Platforms |
title_full | Device Identification Interoperability in Heterogeneous IoT Platforms |
title_fullStr | Device Identification Interoperability in Heterogeneous IoT Platforms |
title_full_unstemmed | Device Identification Interoperability in Heterogeneous IoT Platforms |
title_short | Device Identification Interoperability in Heterogeneous IoT Platforms |
title_sort | device identification interoperability in heterogeneous iot platforms |
topic | Internet of Things device identification interoperability IoT platform |
url | https://www.mdpi.com/1424-8220/19/6/1433 |
work_keys_str_mv | AT jahoonkoo deviceidentificationinteroperabilityinheterogeneousiotplatforms AT seraoh deviceidentificationinteroperabilityinheterogeneousiotplatforms AT younggabkim deviceidentificationinteroperabilityinheterogeneousiotplatforms |