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A new ap-selection strategy for high density IEEE802.11 WLANs

  • Xin Wan*
  • , Xingming Wang
  • , Ung Heo
  • , Jaeho Choi
  • *Corresponding author for this work
  • Jeonbuk National University

Research output: Contribution to conferenceConference paperpeer-review

Abstract

Wireless local area networks are presently widely deployed so that different stations can potentially associate with an access point (AP). The AP selection strategy is one of the significant research areas for wireless local area networks. The selection strategy solves the relevant problem of which AP can be selected and associated with a station so that efficient resource utilization can be obtained. Rather than merely choosing the AP with the strongest received signal strength, however, we calculate the effective throughput for each neighboring AP and use the result as a basis for the AP selection. Referencing the throughput is better than referencing the signal strength because the network may contain a severe load imbalance. We performed computer simulations using the OPNET modeler in order to verify the performance of our scheme. The results show us that our proposed selection method outperforms the conventional one in terms of throughput.

Original languageEnglish
Title of host publicationProceedings - 2010 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2010
Pages52-58
Number of pages7
DOIs
StatePublished - 2010
Event2nd International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2010 - Huangshan, China
Duration: 2010.10.102010.10.12

Publication series

NameProceedings - 2010 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2010

Conference

Conference2nd International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, CyberC 2010
Country/TerritoryChina
CityHuangshan
Period10.10.1010.10.12

Keywords

  • Access point selection strategy
  • Energy efficient scheme
  • Load balancing
  • Wireless mobile network

Quacquarelli Symonds(QS) Subject Topics

  • Computer Science & Information Systems
  • Data Science

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