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    The impact of human shadowing/movement on performance of 802.11ac client-to-server WLAN

    Kolahi, Samad; Almatrook, A.A.

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    4b_The_Impact_of_Human_ShadowingMovement_on_Performance_of_802.11ac_Client_to_Server_WLAN.pdf (917.3Kb)
    Date
    2019-05-01
    Citation:
    Kolahi, S. S., & Almatrook, A. A. (2019). The Impact of Human Shadowing/Movement on Performance of 802.11ac Client-to-Server WLAN. International Journal of Computing and Digital Systems, 8 (3), 243-251.
    Permanent link to Research Bank record:
    https://hdl.handle.net/10652/4777
    Abstract
    This paper investigates the impact of human movement on 802.11ac WLAN performance using IPv4, IPv6, TCP and UDP protocols. The results show that on average, the TCP and UDP on WLAN with human movement has a lower throughput than nonhuman shadowing for both IPv4 and IPv6. For IPv4, the presence of human movement decreases TCP throughput by 12.76% and UDP throughput by 9.66%. For IPv6 with human movement, TCP and UDP throughput reduces by about 13.38% and 8.74% respectively. For both IPv4 and IPv6, the presence of human movement also increases the round trip time (RTT) and CPU Utilization for both TCP and UDP.
    Keywords:
    wireless local area networks (WLANs), network performance, 802.11ac, performance evaluation, IPv6, human movement
    ANZSRC Field of Research:
    080503 Networking and Communications
    Copyright Holder:
    Authors

    Copyright Notice:
    Attribution-NonCommercial-NoDerivatives 4.0 International
    Available Online at:
    https://journal.uob.edu.bh/handle/123456789/3487
    Rights:
    This digital work is protected by copyright. It may be consulted by you, provided you comply with the provisions of the Act and the following conditions of use. These documents or images may be used for research or private study purposes. Whether they can be used for any other purpose depends upon the Copyright Notice above. You will recognise the author's and publishers rights and give due acknowledgement where appropriate.
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    • Computing Journal Articles [51]

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