A Semantic Meta-Model Repository for Lightweight M2M

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

2 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 languageEnglish
Title of host publication2018 IEEE International Conference on Communication Systems, ICCS 2018
PublisherIEEE
Pages468-472
Number of pages5
ISBN (Electronic)9781538678640
DOIs
Publication statusPublished - 11 Apr 2019
Publication typeA4 Article in conference proceedings
EventIEEE International Conference on Communication Systems - Chengdu, China
Duration: 19 Dec 201821 Dec 2018

Conference

ConferenceIEEE International Conference on Communication Systems
Country/TerritoryChina
CityChengdu
Period19/12/1821/12/18

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

Fingerprint

Dive into the research topics of 'A Semantic Meta-Model Repository for Lightweight M2M'. Together they form a unique fingerprint.

Cite this