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A Semantic Meta-Model Repository for Lightweight M2M

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A Semantic Meta-Model Repository for Lightweight M2M. / Silverajan, B.; Zhao, Hanning; Kamath, Arjun.

2018 IEEE International Conference on Communication Systems, ICCS 2018. IEEE, 2019. p. 468-472.

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

Harvard

Silverajan, B, Zhao, H & Kamath, A 2019, A Semantic Meta-Model Repository for Lightweight M2M. in 2018 IEEE International Conference on Communication Systems, ICCS 2018. IEEE, pp. 468-472, IEEE International Conference on Communication Systems, Chengdu, China, 19/12/18. https://doi.org/10.1109/ICCS.2018.8689185

APA

Silverajan, B., Zhao, H., & Kamath, A. (2019). A Semantic Meta-Model Repository for Lightweight M2M. In 2018 IEEE International Conference on Communication Systems, ICCS 2018 (pp. 468-472). IEEE. https://doi.org/10.1109/ICCS.2018.8689185

Vancouver

Silverajan B, Zhao H, Kamath A. A Semantic Meta-Model Repository for Lightweight M2M. In 2018 IEEE International Conference on Communication Systems, ICCS 2018. IEEE. 2019. p. 468-472 https://doi.org/10.1109/ICCS.2018.8689185

Author

Silverajan, B. ; Zhao, Hanning ; Kamath, Arjun. / A Semantic Meta-Model Repository for Lightweight M2M. 2018 IEEE International Conference on Communication Systems, ICCS 2018. IEEE, 2019. pp. 468-472

Bibtex - Download

@inproceedings{c9b8c66cff0a4f38a59b81982e0a3adc,
title = "A Semantic Meta-Model Repository for Lightweight M2M",
abstract = "One of the biggest problems in managing devices for the Internet of Things (IoT) is the ability for a management server to independently discover and retrieve data models for vendor-specific devices. At the same time, several device management methods also lack methods for device vendors to share their data models in a consistent manner. This paper presents the design and implementation of a repository that can flexibly accommodate many needs with regards to these issues, and allows device vendors to publish semantically similar data models as well as attach meta-data to these models. A Machine-to-Machine (M2M) communication interface also allows a management server to communicate with the repository. We show how these techniques can be used with the Lightweight Machine-to-Machine (LWM2M) standard.",
keywords = "data model repository, IoT device management, LWM2M",
author = "B. Silverajan and Hanning Zhao and Arjun Kamath",
year = "2019",
month = "4",
day = "11",
doi = "10.1109/ICCS.2018.8689185",
language = "English",
pages = "468--472",
booktitle = "2018 IEEE International Conference on Communication Systems, ICCS 2018",
publisher = "IEEE",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - A Semantic Meta-Model Repository for Lightweight M2M

AU - Silverajan, B.

AU - Zhao, Hanning

AU - Kamath, Arjun

PY - 2019/4/11

Y1 - 2019/4/11

N2 - One of the biggest problems in managing devices for the Internet of Things (IoT) is the ability for a management server to independently discover and retrieve data models for vendor-specific devices. At the same time, several device management methods also lack methods for device vendors to share their data models in a consistent manner. This paper presents the design and implementation of a repository that can flexibly accommodate many needs with regards to these issues, and allows device vendors to publish semantically similar data models as well as attach meta-data to these models. A Machine-to-Machine (M2M) communication interface also allows a management server to communicate with the repository. We show how these techniques can be used with the Lightweight Machine-to-Machine (LWM2M) standard.

AB - One of the biggest problems in managing devices for the Internet of Things (IoT) is the ability for a management server to independently discover and retrieve data models for vendor-specific devices. At the same time, several device management methods also lack methods for device vendors to share their data models in a consistent manner. This paper presents the design and implementation of a repository that can flexibly accommodate many needs with regards to these issues, and allows device vendors to publish semantically similar data models as well as attach meta-data to these models. A Machine-to-Machine (M2M) communication interface also allows a management server to communicate with the repository. We show how these techniques can be used with the Lightweight Machine-to-Machine (LWM2M) standard.

KW - data model repository

KW - IoT device management

KW - LWM2M

U2 - 10.1109/ICCS.2018.8689185

DO - 10.1109/ICCS.2018.8689185

M3 - Conference contribution

SP - 468

EP - 472

BT - 2018 IEEE International Conference on Communication Systems, ICCS 2018

PB - IEEE

ER -