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Throughput and Delay Analysis of IEEE 802.11-Based Tree-Topology Networksoa mark
  • Kanematsu, Takeshi ;
  • Wan, Yin ;
  • Sanada, Kosuke ;
  • Li, Zhetao ;
  • Pei, Tingrui ;
  • Choi, Young June ;
  • Nguyen, Kien ;
  • Sekiya, Hiroo
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Publication Year
2020-01-01
Publisher
Institute of Electrical and Electronics Engineers Inc.
Citation
IEEE Open Journal of the Communications Society, Vol.1, pp.1295-1305
Keyword
airtimeBianchidelayperformance analysisthroughputTree topology
Mesh Keyword
Analytical expressionsCarrier sensingCollision probabilityConcept analysisConcurrent transmissionDelay analysisNetwork throughputQuantitative agreement
All Science Classification Codes (ASJC)
Computer Networks and Communications
Abstract
This article aims to investigate the performance of the IEEE 802.11-based tree-topology network, where a wireless node is within the others' carrier sensing ranges. In such a network, the concurrent transmission is a dominant cause of frame collisions. Moreover, the relay nodes (RN) (i.e., in the tree) likely cause the coexistence of non-saturated and saturated nodes in the networks. Those conditions have not been addressed in the previous works yet. As a solution, this work proposes new analytical expressions of delay and throughput in the investigated scenario. The presented analytical model incorporates the Bianchi model and airtime concept to formulate operations of the IEEE 802.11 nodes. First, by leveraging Bianchi-based analysis, the proposed model gives the frame collision probability caused by concurrent transmission. Second, by using airtime concept analysis, the ratio of frame numbers of each flow in a relay node (RN) is expressed to represent the buffer state of RN. As a result, we can obtain the network throughput, the throughput, and the delay of each flow. The validity of the analytical expressions is confirmed by the quantitative agreement between the analytical and simulation results.
ISSN
2644-125X
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/32459
DOI
https://doi.org/10.1109/ojcoms.2020.3021129
Fulltext

Type
Article
Funding
This work was supported by JSPS KAKENHI under Grant 19K20251 and Grant 20H04174. The work of Kien Nguyen was supported by the Leading Initiative for Excellent Young Researchers (LEADER) Program from MEXT, Japan.
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