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The ratio model between throughput and delay based on payload transmission time in wireless blockchain network.

Chun Shi1,2, Chun Shan3

  • 1School of Electronic and Information, Guangdong Polytechnic Normal University, Guangzhou, 510633, People's Republic of China.

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This study introduces a new model for wireless blockchain networks (WBNs) to analyze both delay and throughput. The findings show optimal payload transmission time is independent of node count, crucial for efficient WBNs.

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Area of Science:

  • Computer Science
  • Network Engineering
  • Blockchain Technology

Background:

  • Wireless blockchain networks (WBNs) require evaluation beyond throughput, necessitating analysis of delay performance.
  • Existing models may not adequately capture the interplay between data rates, delay, and throughput in WBNs.

Purpose of the Study:

  • To propose and validate an analysis model for WBNs that integrates both delay and throughput performance.
  • To investigate the impact of different data rates on the overall network performance of WBNs.

Main Methods:

  • Separated communication and business processes, packaging business data into frames for analysis.
  • Defined throughput-time ratio and developed a ratio model linking throughput-time to network delay.
  • Analyzed payload transmission time and compared performance metrics (delay, throughput) for different IEEE 802.11 access mechanisms (DATA/ACK vs. RTS/CTS/DATA/ACK).

Main Results:

  • The optimal payload transmission time in WBNs is independent of the number of nodes.
  • Optimal payload transmission time is determined by interframe space and propagation time.
  • The proposed model accurately predicts network delay and throughput performance based on payload transmission time.

Conclusions:

  • The developed analysis model provides a comprehensive evaluation of WBN performance, considering both delay and throughput.
  • Understanding payload transmission time is key to optimizing WBN performance, irrespective of network size.
  • Simulation results validate the accuracy and applicability of the proposed model for WBN analysis.