A Novel User-Oriented Quality of Service Algorithm for Home Networks

Hwang, Wen-Jyi; Tung, Yi-Chih; Chen, Ying-Lun; Lai, Po‐Yu; Ho, Chih‐Hsiang

doi:10.1109/jsyst.2015.2480869

Cited by 4 publications

(1 citation statement)

References 18 publications

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“…The home gateway offers three buffers in different priority levels to store prioritised data, and then transmits those data in order. From the perspective of the user, Hwang et al (2018) arranged appropriate bandwidth allocation to different services by predicting their future needs through the historical data of user responses to separate services. For the type of data service, Ligata et al (2018) used a special network framework for image services because the image data is of high time sensitivity.…”

Section: Qos and User Satisfactionmentioning

confidence: 99%

QoS-prioritised media delivery with adaptive data throughput in IoT-based home networks

Kuo

Chen

et al. 2021

IJWGS

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To maintain network efficiency of a home network, it is crucial to moderately distribute limited data throughput and bandwidth resources to various home devices and services that require different network resource provisions. This paper accounts for QoS differentiation and fairness of network resource allocation which are essential to the design of an efficient IoT-based home media delivery mechanism against network traffic dynamics. Accordingly, our study in this paper proposes a QoS-prioritised media delivery mechanism with adaptive data throughput. This mechanism design includes several functions: assigning weights of relative importance to home service types, adjusting media quality of home services, reducing data workload against traffic congestion, and fairly distributing free bandwidth to prioritised home services. Furthermore, our study fulfills a simplified proof-of-concept implementation in a small-scaled IoT-based home network. Practical experiments can generate real measure data for performance examination. Results show that the proposed mechanism is able to sustain not only QoS differentiation like data throughput and delay, but also fair user satisfaction with comfortable media playing quality.

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Section: Qos and User Satisfactionmentioning

confidence: 99%