Tampere University of Technology

TUTCRIS Research Portal

A Semantic Meta-Model Repository for Lightweight M2M

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


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


ConferenceIEEE International Conference on Communication Systems


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.


  • data model repository, IoT device management, LWM2M

Publication forum classification

Field of science, Statistics Finland