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Title: IoT Traffic Management and Integration in the QoS Supported Network
Authors: Al-Shammari, B
Al-Aboody, N
Al-Raweshidy, H
Keywords: IoT;MTC;HTC;Traffic Policy;Gateway;QCI;NQoS;AQoS;E2E delay;Jitter
Issue Date: 2018
Publisher: IEEE
Citation: IEEE Internet of Things Journal, 20 (4), (2018)
Abstract: This paper proposes: (i) a traffic flow management policy, which allocates and organises Machine Type Communication (MTC) traffic flows network resources sharing within Evolved Packet System (EPS), (ii) an access element as a Wireless Sensor Network (WSN) gateway for providing an overlaying access channel between the Machine Type Devices (MTDs) and EPS and (iii) it addresses the effect and interaction in the heterogeneity of applications, services and terminal devices and the related Quality of Service (QoS) issues among them. This work overcomes the problems of network resource starvation by preventing deterioration of network performance. The scheme is validated through simulation, which indicates the proposed traffic flow management policy outperforms the current traffic management policy. Specifically, simulation results show that the proposed model achieves an enhancement in QoS performance for the MTC traffic flows, including a decrease of 99.45% in Packet Loss Ratio (PLR), a decrease of 99.89% in packet End To End (E2E) delay, a decrease of 99.21% in Packet Delay Variation (PDV). Furthermore, it retains the perceived Quality of Experience (QoE) of the real time application users within high satisfaction levels, such as the VoLTE service possessing a Mean Opinion Score (MOS) of 4.349 and enhancing the QoS of a video conference service within the standardised values of a 3GPP body, with a decrease of 85.28% in PLR, a decrease of 85% in packet E2E delay and a decrease of 88.5% in PDV.
Appears in Collections:Dept of Electronic and Computer Engineering Research Papers

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