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Joint Energy Detection and Transmission Power Adjustment for FIM Problem in High Density WLANs

  • Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With the rapid development of mobile internet services, the intensive deployment of wireless local area network (WLAN) is inevitable. Traditional WLAN uses carrier sense/collision avoidance (CSMA/CA) mechanism to avoid interference between links as much as possible. In the multi access points (APs) scenario, the traditional CSMA/CA may lead to the flow in the middle (FIM) problem, resulting in a sharp reduction in the throughput of the intermediate nodes and affecting the fairness of the whole network. Existing researches have shown that the FIM problem is more serious in the high density WLAN network. The existing researches on the FIM problem mainly focus on the dynamic optimization of a single parameter, the fairness and performance of the network cannot be well guaranteed. Therefore, this paper proposes a FIM oriented down link (DL) multi-parameter joint dynamic control scheme. AP as a centralized controller, regularly obtains the transmission status of the whole network, reduces the transmission opportunities of the strong AP through adaptive dynamic power and energy detection threshold control (A-DPEC) algorithm, and improves the transmission opportunities of the starvation AP, so as to achieve the performance and fair balance of the whole network. The simulation results show that the proposed scheme outperforms the comparing schemes.

Original languageEnglish
Title of host publicationSmart Grid and Internet of Things - 6th EAI International Conference, SGIoT 2022, Proceedings
EditorsDer-Jiunn Deng, Han-Chieh Chao, Jyh-Cheng Chen
PublisherSpringer Science and Business Media Deutschland GmbH
Pages200-213
Number of pages14
ISBN (Print)9783031312748
DOIs
StatePublished - 2023
Event6th International Conference on Smart Grid and Internet of Things, SGIoT 2022 - TaiChung, Taiwan, Province of China
Duration: 19 Nov 202220 Nov 2022

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume497 LNICST
ISSN (Print)1867-8211
ISSN (Electronic)1867-822X

Conference

Conference6th International Conference on Smart Grid and Internet of Things, SGIoT 2022
Country/TerritoryTaiwan, Province of China
CityTaiChung
Period19/11/2220/11/22

Keywords

  • CSMA/CA
  • Dynamic Control
  • FIM
  • Wireless Local Area Networks

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