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A Fuzzy Queue Scheduling Controller to Enhance QoS for Terminal Communication

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Proceedings of the 8th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT’18), Vol.2 (SETIT 2018)

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 147))

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Abstract

Communications of smart devices become widely utilized. When accessing to the network, the node communication should satisfy some quality of service (QoS) requirements. The queue scheduling can extremely affect the QoS support. In order to improve the QoS in network transmission, an innovative fuzzy queue scheduling controller (FQSC) is proposed in this work. This FQSC model is based on fuzzy logic theories and queue scheduling technologies. FQSC is proposed to reduce the transmission delay and packet loss. It adopts an improved generic fuzzy principle to make the buffer length at a stable level by varying a packets number of a queue transmission session and automatically adjusting priority factors of a queue member. Simulation results demonstrate that our approach minimizes considerably the queuing time of data packets in buffer and improves significantly QoS parameters. Results prove also that the proposal improves the network adaptability and stability compared with classic scheduling techniques.

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Authors and Affiliations

  1. EµE Laboratory, Faculty of Science of Monastir, University of Monastir, Monastir, Tunisia

    Jamila Bhar

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  1. Jamila Bhar
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Correspondence to Jamila Bhar .

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Editors and Affiliations

  1. SETIT Lab, University of Sfax, Sfax, Tunisia

    Med Salim Bouhlel

  2. DIBRIS - University of Genoa, Genova, Genova, Italy

    Stefano Rovetta

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Bhar, J. (2020). A Fuzzy Queue Scheduling Controller to Enhance QoS for Terminal Communication. In: Bouhlel, M., Rovetta, S. (eds) Proceedings of the 8th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT’18), Vol.2. SETIT 2018. Smart Innovation, Systems and Technologies, vol 147. Springer, Cham. https://doi.org/10.1007/978-3-030-21009-0_28

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