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      A QoS Enhancement Scheme through Joint Control of Clear Channel Assessment Threshold and Contending Window for IEEE 802.11e Broadcasting

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          Abstract

          In a WLAN, when a great many nodes coexist, the network may readily be congested, thus causing packets dropping and network performance degradation. To solve this issue, a lot of schemes have been proposed. However, most of the previous works attempt to avoid the possible channel congestion by controlling the packets generation rate and/or transmitting power of nodes, while the effects of Clear Channel Assessment (CCA) threshold are not well examined. In our paper, a Joint CCA threshold and contending window control algorithm (JCCA) is proposed to avoid channel congestion or reduce the congestion probability of broadcasting in an IEEE 802.11e network. Both the network conditions and the priorities of messages are taken into account to improve the broadcasting performance in our paper. According to the simulation results, it can be concluded that our scheme can significantly increase the network throughput as well as packets delivery ratio and reduce the packet transmission delay compared to the IEEE 802.11e and Adaptive Carrier Sensing-Based MAC Designs (ACSBM) protocol.

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          Most cited references9

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          Performance analysis of the IEEE 802.11 distributed coordination function

          G. Bianchi (2000)
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            Dynamic tuning of the IEEE 802.11 protocol to achieve a theoretical throughput limit

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              IEEE 802.11 protocol: design and performance evaluation of an adaptive backoff mechanism

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                Author and article information

                Journal
                Mobile Information Systems
                Mobile Information Systems
                Hindawi Limited
                1574-017X
                1875-905X
                2017
                2017
                : 2017
                :
                : 1-9
                Article
                10.1155/2017/7653181
                e74db993-7c7e-4a52-a0e3-33702df97f49
                © 2017

                http://creativecommons.org/licenses/by/4.0/

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