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Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

Deriving machine to machine (M2M) traffic model from communication model

Barakat, Basel, Keates, Simeon, Arshad, Kamran and Wassell, Ian J (2019) Deriving machine to machine (M2M) traffic model from communication model. In: 2018 Fifth International Symposium on Innovation in Information and Communication Technology (ISIICT). IEEE, pp. 1-5. ISBN 9781538662243

Item Type: Book Section

Abstract

The typical traffic models proposed in literature can be considered as heuristic models since they only reflect the stochastic characteristic of the generated traffic. In this paper, we propose a model for M2M communications that generates the traffic. Therefore, the proposed model is able to capture a wider picture than the state-of-the-art traffic models. The proposed model illustrates the behaviour of M2M uplink communication in a network with multiple-access limited information capacity shared channels. In this paper, we analyzed the number of transmitted packets using the traffic model extracted from our proposed communication model and compared it with the state-of- the-art traffic models using simulations. The simulation results show that the proposed model has a significantly higher accuracy in estimating the number of transmitted packets compared with the liteature model.

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More Information

Depositing User: Basel Barakat

Identifiers

Item ID: 14184
Identification Number: https://doi.org/10.1109/ISIICT.2018.8613727
ISBN: 9781538662243
URI: http://sure.sunderland.ac.uk/id/eprint/14184
Official URL: https://ieeexplore.ieee.org/document/8613727

Users with ORCIDS

ORCID for Basel Barakat: ORCID iD orcid.org/0000-0001-9126-7613

Catalogue record

Date Deposited: 17 Jan 2022 09:18
Last Modified: 25 Jan 2022 08:46

Contributors

Author: Basel Barakat ORCID iD
Author: Simeon Keates
Author: Kamran Arshad
Author: Ian J Wassell

University Divisions

Faculty of Technology > School of Computer Science

Subjects

Computing
Engineering

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