A Feasibility Study of M2M/IoT Numbering Model in Indonesia

Muhammad Nurohman Nurohim, Muhamad Asvial

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

Abstract

Machine to Machine (M2M) and Internet of Things (IoT) communications were predicted to grow very fast, especially M2M/IoT communications that use cellular networks for Internet connectivity. One of the M2M/IoT challenges over a cellular network was identifying the M2M/IoT device to differentiate it from regular mobile subscriber devices (human to human communication). Hence, this study recommended a numbering model as one of the M2M/IoT device identities. The study in this paper was carried out with a comprehensive survey on previous research, studying standardization, consultation documents, and existing regulatory conditions in Indonesia related to the numbering plan following the recommendation of ITU-T E.164 (The international public telecommunication numbering plan). Finally, this paper recommended two numbering options that can be implemented in Indonesia and several recommendations for further research related to the M2M/IoT numbering plan.

Original languageEnglish
Title of host publicationAIMS 2021 - International Conference on Artificial Intelligence and Mechatronics Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665424820
DOIs
Publication statusPublished - 28 Apr 2021
Event2021 International Conference on Artificial Intelligence and Mechatronics Systems, AIMS 2021 - Virtual, Bandung, Indonesia
Duration: 28 Apr 202130 Apr 2021

Publication series

NameAIMS 2021 - International Conference on Artificial Intelligence and Mechatronics Systems

Conference

Conference2021 International Conference on Artificial Intelligence and Mechatronics Systems, AIMS 2021
Country/TerritoryIndonesia
CityVirtual, Bandung
Period28/04/2130/04/21

Keywords

  • IoT
  • IPv6
  • ITU-T E.164
  • M2M
  • Numbering Plan

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