2019年
Enhancements of minimax access-point setup optimisation approach for IEEE 802.11 WLAN.
Int. J. Space Based Situated Comput.
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- 巻
- 9
- 号
- 1
- 開始ページ
- 47
- 終了ページ
- 59
- 記述言語
- 英語
- 掲載種別
- 研究論文(学術雑誌)
- DOI
- 10.1504/IJSSC.2019.100017
- 出版者・発行元
- INDERSCIENCE ENTERPRISES LTD
As a flexible and cost-efficient internet access network, the IEEE 802.11 wireless local-area network (WLAN) has been broadly deployed around the world. Previously, to improve the IEEE 802.11n WLAN performance, we proposed the four-step minimax access-point (AP) setup optimisation approach: 1) link throughputs between the AP and hosts in the network field are measured manually; 2) the throughput estimation model is tuned using the measurement results; 3) the bottleneck host suffering the least throughput is estimated using this model; 4) the AP setup is optimised to maximise the throughput of the bottleneck host. Unfortunately, this approach has drawbacks: 1) a lot of manual throughput measurements are necessary to tune the model; 2) the shift of the AP location is not considered; 3) IEEE 802.11ac devices at 5 GHz are not evaluated, although they can offer faster transmissions. In this paper, we present the three enhancements: 1) the number of measurement points is reduced while keeping the model accuracy; 2) the coordinate of the AP setup is newly adopted as the optimisation parameter; 3) the AP device with IEEE 802.11ac at 5 GHz is considered with slight modifications. The effectiveness is confirmed by extensive experiments in three network fields.
- リンク情報
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- DOI
- https://doi.org/10.1504/IJSSC.2019.100017
- DBLP
- https://dblp.uni-trier.de/rec/journals/ijssc/LwinFDMSKK19
- Web of Science
- https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000470129900006&DestApp=WOS_CPL
- URL
- https://dblp.uni-trier.de/db/journals/ijssc/ijssc9.html#LwinFDMSKK19
- ID情報
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- DOI : 10.1504/IJSSC.2019.100017
- ISSN : 2044-4893
- eISSN : 2044-4907
- DBLP ID : journals/ijssc/LwinFDMSKK19
- Web of Science ID : WOS:000470129900006