A Semantic Meta-Model Repository for Lightweight M2M

B. Silverajan; Hanning Zhao; Arjun Kamath

doi:10.1109/ICCS.2018.8689185

A Semantic Meta-Model Repository for Lightweight M2M

B. Silverajan, Hanning Zhao, Arjun Kamath

Computing Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

4 Citations (Scopus)

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.

Original language	English
Title of host publication	2018 IEEE International Conference on Communication Systems, ICCS 2018
Publisher	IEEE
Pages	468-472
Number of pages	5
ISBN (Electronic)	9781538678640
DOIs	https://doi.org/10.1109/ICCS.2018.8689185
Publication status	Published - 11 Apr 2019
Publication type	A4 Article in conference proceedings
Event	IEEE International Conference on Communication Systems - Chengdu, China Duration: 19 Dec 2018 → 21 Dec 2018

Conference

Conference	IEEE International Conference on Communication Systems
Country/Territory	China
City	Chengdu
Period	19/12/18 → 21/12/18

Keywords

data model repository
IoT device management
LWM2M

Publication forum classification

Publication forum level 0

ASJC Scopus subject areas

Computer Networks and Communications
Hardware and Architecture
Information Systems and Management
Aerospace Engineering

Access to Document

10.1109/ICCS.2018.8689185

Cite this

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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 = apr,

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doi = "10.1109/ICCS.2018.8689185",

language = "English",

pages = "468--472",

booktitle = "2018 IEEE International Conference on Communication Systems, ICCS 2018",

publisher = "IEEE",

note = "IEEE International Conference on Communication Systems ; Conference date: 19-12-2018 Through 21-12-2018",

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AU - Zhao, Hanning

AU - Kamath, Arjun

PY - 2019/4/11

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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

AN - SCOPUS:85065038511

SP - 468

EP - 472

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

PB - IEEE

T2 - IEEE International Conference on Communication Systems

Y2 - 19 December 2018 through 21 December 2018

ER -

A Semantic Meta-Model Repository for Lightweight M2M

Abstract

Conference

Keywords

Publication forum classification

ASJC Scopus subject areas

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Cite this