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Error Recovery Using Cooperative ARQ in Energy-Harvesting Wireless Sensor Networks with Data Allocation.

Ikjune Yoon1

  • 1Division of AI Computer Science and Engineering, Kyonggi University, 154-42 Gwanggyosan-ro, Yeongtong-gu, Suwon-si 16227, Republic of Korea.

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Summary
This summary is machine-generated.

This study introduces Cooperative ARQ (C-ARQ) for energy harvesting wireless sensor networks (EH-WSNs). The new method balances energy and data, improving data collection by preventing energy depletion during error recovery.

Keywords:
cooperative ARQdata allocationenergy harvestingerror recoverywireless sensor networks

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Area of Science:

  • Wireless Sensor Networks
  • Artificial Intelligence of Things (AIoT)
  • Energy Harvesting

Background:

  • Energy harvesting wireless sensor networks (EH-WSNs) are crucial for AIoT data collection.
  • Inconsistent energy harvesting poses challenges for reliable data collection.
  • Existing error recovery methods like ARQ and FEC do not account for energy and data allocation constraints.

Purpose of the Study:

  • To propose a novel Cooperative ARQ (C-ARQ) scheme tailored for EH-WSNs.
  • To address the limitations of conventional error recovery techniques in energy-constrained environments.
  • To enhance data collection consistency and prevent energy depletion in EH-WSNs.

Main Methods:

  • Developed a C-ARQ scheme integrating energy and data allocation strategies.
  • Calculated retransmittable data based on surplus energy after initial data allocation.
  • Implemented error recovery within the calculated retransmission limits.

Main Results:

  • The proposed C-ARQ scheme significantly improves the amount of data gathered at the sink node.
  • Demonstrated enhanced performance in scenarios with longer hop paths and higher packet error rates.
  • Showcased effective prevention of energy depletion while recovering errors.

Conclusions:

  • C-ARQ offers a robust solution for reliable data collection in EH-WSNs.
  • The scheme effectively balances energy constraints with the need for error recovery.
  • C-ARQ is particularly beneficial for challenging network conditions and environments with abundant harvested energy.