Deriving Machine to Machine (M2M) Traffic Model from Communication Model

Barakat, Basel; Keates, Simeon; Arshad, Kamran; Wassell, Ian J.

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.

Citation

Barakat, B., Keates, S., Arshad, K., & Wassell, I. J. (2018, October). Deriving Machine to Machine (M2M) Traffic Model from Communication Model. Presented at 2018 Fifth International Symposium on Innovation in Information and Communication Technology (ISIICT), Philadelphia University, Jordan

• Presentation Conference Type: Conference Paper (Published)
• Conference Name: 2018 Fifth International Symposium on Innovation in Information and Communication Technology (ISIICT)
• Start Date: Oct 31, 2018
• End Date: Nov 1, 2018
• Acceptance Date: Feb 1, 2018
• Publication Date: Jan 17, 2019
• Deposit Date: Feb 6, 2019
• Publicly Available Date: Feb 6, 2019
• Publisher: Institute of Electrical and Electronics Engineers
• Pages: 27-31
• Book Title: The Fifth International Symposium on Innovation in Information and Communication Technology (ISIICT 2018)
• Chapter Number: 5
• DOI: https://doi.org/10.1109/ISIICT.2018.8613727
• Keywords: Machine to Machine Communication; Communication Model; Communication System Traffic; Traffic Model; Stochastic Process.
• Public URL: http://researchrepository.napier.ac.uk/Output/1497072
• Contract Date: Feb 6, 2019