A tool for defining charging models for M2M communications

Fuchun Lin, Kun Lun Tsai, Shih Ying Song, Wen Cheng Hsu, Yueh Ting La, Wan Hsun Hu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The traditional charging models such as those based on amount of data transfer and number of short messages are no longer adequate for M2M communications. Consequently, new charging models based on newly identified charging factors have been proposed to address this issue. Nevertheless, due to the diversity and complexity of charging factors involved in M2M communications, an automatic tool is deemed necessary to assist defining appropriate charging models for a given type of M2M services. This paper reports the design and application of such a tool to ease the adoption of new charging models in M2M communications.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE International Congress on Internet of Things, ICIOT 2018 - Part of the 2018 IEEE World Congress on Services
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages104-109
Number of pages6
ISBN (Electronic)9781538672440
DOIs
StatePublished - 26 Sep 2018
Event3rd IEEE International Congress on Internet of Things, ICIOT 2018 - San Francisco, United States
Duration: 2 Jul 20187 Jul 2018

Publication series

NameProceedings - 2018 IEEE International Congress on Internet of Things, ICIOT 2018 - Part of the 2018 IEEE World Congress on Services

Conference

Conference3rd IEEE International Congress on Internet of Things, ICIOT 2018
CountryUnited States
CitySan Francisco
Period2/07/187/07/18

Keywords

  • Automatic tool
  • Charging factors
  • Charging models
  • M2M communications

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  • Cite this

    Lin, F., Tsai, K. L., Song, S. Y., Hsu, W. C., La, Y. T., & Hu, W. H. (2018). A tool for defining charging models for M2M communications. In Proceedings - 2018 IEEE International Congress on Internet of Things, ICIOT 2018 - Part of the 2018 IEEE World Congress on Services (pp. 104-109). [8473446] (Proceedings - 2018 IEEE International Congress on Internet of Things, ICIOT 2018 - Part of the 2018 IEEE World Congress on Services). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIOT.2018.00021