Performance improvements of batch data model for machine-to-machine communications

Sok Ian Sou, Shih Min Wang

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

In recent years, rapid growth in the popularity of machine-to-machine (M2M) applications has enabled the deployment of a large number of M2M devices. In addition, 3GPP proposes the use of higher layer connections among M2M devices to link to LTE-advanced core networks. To support the massive numbers of device connections, it is essential that the cost imposed by the unnecessary transmission of data in core networks be reduced. This paper investigates how to apply the batch data model to reduce the data update frequency in M2M core networks. To achieve an acceptable ratio of updated devices while avoiding a high data update rate from the devices/gateway to the server, for each data access issuing by an M2M application, we dynamically pull not-yet-updated data from the gateway in respect to different kinds of application requirements. An analytical model is developed for the proposed batch data model with data pulling to evaluate the transmission cost and updated device ratio in M2M networks.

Original languageEnglish
Article number2345656
Pages (from-to)1775-1778
Number of pages4
JournalIEEE Communications Letters
Volume18
Issue number10
DOIs
Publication statusPublished - 2014 Oct 1

All Science Journal Classification (ASJC) codes

  • Modelling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering

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