Towards the oneM2M standards for building IoT ecosystem: Analysis, implementation and lessons

Jaeho Kim, Sung Chan Choi, Jaeseok Yun, Jang Won Lee

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

As the Internet of Things (IoT) revolution presents an enormous opportunity for all industry verticals ranging from startups to large enterprises to create new types of services, standard bodies and global alliances have been working on establishing common standards for IoT systems. The oneM2M is the global partnership developing standards for Machine-to-Machine (M2M) communications and the Internet of Things. It develops technical specifications for the globally-applicable, interoperable common M2M/IoT service layer platforms, which play a pivotal role in building the ecosystem driven by key players, including developers and consumers. In this paper, we analyze the oneM2M standards, and introduce Mobius and &Cube, which are oneM2M-compliant M2M/IoT software platforms for servers and devices, respectively. We also present four pilot services using the platforms and several prototype IoT devices. Finally, we discuss three aspects, advanced discovery, open API, and peer-to-peer that are required for the oneM2M to build IoT ecosystem by attracting developers and consumers into the emerging IoT ecosystem.

Original languageEnglish
Pages (from-to)139-151
Number of pages13
JournalPeer-to-Peer Networking and Applications
Volume11
Issue number1
DOIs
Publication statusPublished - 2018 Jan 1

Bibliographical note

Funding Information:
Kim, Choi, and Yun were supported by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIP) (No.B0184-15-1003, Development of oneM2M Conformance Testing Tool and QoS Technology) Lee was supported by Institute for Information & communications Technology Promotion(IITP) grant funded by the Korea government(MSIP) (No.B0717-16-0024, Development on the core technologies of transmission, modulation and coding with low-power and low-complexity for massive connectivity in the IoT environment).

Publisher Copyright:
© 2016, Springer Science+Business Media New York.

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Networks and Communications

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