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Research on Data Traffic Model of Internet of Things Based on Statistical Analysis

Published: 01 February 2021 Publication History

Abstract

In view of the sudden transmission of nodes in the Internet of things, this paper adopts the method of establishing data traffic model based on statistical analysis. On the basis of statistical analysis, the traffic is analyzed in the time domain, that is, the data traffic model is studied on different time scales. Then the traffic is analyzed in the spatial domain. It can be seen that the fitting effects of different time scales and different spatial domain are different. In addition, according to the energy consumption model of Internet of things nodes, it shows that the data traffic and energy consumption have a positive correlation.

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  • (2024)Traffic management systems: a survey of current solutions and emerging technologiesJournal of Computational Social Science10.1007/s42001-024-00340-08:1Online publication date: 29-Nov-2024

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  1. Research on Data Traffic Model of Internet of Things Based on Statistical Analysis

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    EITCE '20: Proceedings of the 2020 4th International Conference on Electronic Information Technology and Computer Engineering
    November 2020
    1202 pages
    ISBN:9781450387811
    DOI:10.1145/3443467
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 01 February 2021

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    Author Tags

    1. Data traffic
    2. Internet of things
    3. Model
    4. Probability density function
    5. Statistics

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    EITCE '20 Paper Acceptance Rate 214 of 441 submissions, 49%;
    Overall Acceptance Rate 508 of 972 submissions, 52%

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    • (2024)Traffic management systems: a survey of current solutions and emerging technologiesJournal of Computational Social Science10.1007/s42001-024-00340-08:1Online publication date: 29-Nov-2024

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