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Database energy saving strategy using blockchain and Internet of Things.

Dexian Yang1, Jiong Yu2, Zhenzhen He2

  • 1Xinjiang Vocational and Technical College of Communications, Urumqi, Xinjiang, 831401, China. yangdexian@stu.xju.edu.cn.

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This study enhances database energy saving for green systems using blockchain integration. Increasing network nodes reduces execution time, benefiting databases and the Internet of Things.

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Area of Science:

  • Computer Science
  • Environmental Science
  • Information Technology

Background:

  • Rapid growth in information technology necessitates energy-efficient solutions.
  • Blockchain integration offers new paradigms for database management.
  • Wireless sensor networks (WSNs) require optimized protocols for data handling.

Purpose of the Study:

  • To develop a green environmental protection system by advancing database energy-saving techniques.
  • To optimize energy-saving mechanisms through blockchain integration.
  • To analyze protocol classification in WSNs within the context of IT advancements.

Main Methods:

  • Examining protocol classification of wireless sensor networks.
  • Analyzing database storage and sharing models.
  • Investigating blockchain data structure and storage paths using spatial-temporal correlation.
  • Evaluating the impact of network node count on database system execution time.

Main Results:

  • Increasing network nodes within a reasonable range reduces overall execution time in database systems.
  • Query traffic in system databases shows a continuous increase over time.
  • Blockchain integration can enhance database energy-saving mechanisms.

Conclusions:

  • The proposed system offers a green approach to database management.
  • Findings have practical implications for database systems and the Internet of Things (IoT).
  • Optimizing network nodes is crucial for efficient database performance and energy saving.