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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).

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Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Depositing User: Basel Barakat
URI: https://sure.sunderland.ac.uk/id/eprint/14184

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Item ID
14184
Identification Number
ISBN
9781538662243

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ORCID for Basel Barakat

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Date Deposited
17 Jan 2022 09:18
Last Modified
04 Jun 2025 14:59

Contributors

Author
Simeon Keates
Author
Kamran Arshad
Author
Ian J Wassell

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