AIoT-Enabled Green Supply Chain Management Offers Energy-Efficient Solutions

Strategic Insights -

Research from Waseda University, funded by Grants-in-Aid for Scientific Research (KAKENHI) and Telecommunications Advancement Foundation, has developed a contract theory and harmony search optimization algorithm (HSO-Con) for AIoT-enabled green supply chain management. This innovative method optimizes resource allocation in the AIoT environment, reducing network congestion and enhancing supply chain efficiency.

Key Takeaways:

  • The HSO-Con algorithm uses contract theory and harmony search optimization to dynamically optimize task scheduling and data processing in AIoT-enabled green supply chains.
  • The algorithm employs a cache mechanism to reduce redundant data transmission and a graph neural network (GNN) to enhance adaptability and efficient processing of data streams.
  • Simulation results show that the HSO-Con algorithm improves cache hit rate by 4.27% and 5.05%, respectively, and bandwidth utilization by 7.01%.
  • The research has been peer-reviewed and published in the Ieee Internet of Things Journal.
  • The algorithm has significant potential in reducing network congestion and enhancing supply chain efficiency in AIoT-enabled green supply chains.

Statistics:

  • The HSO-Con algorithm improves cache hit rate by 4.27% and 5.05%, respectively.
  • The algorithm improves bandwidth utilization by 7.01%.
  • The research has been published in the Ieee Internet of Things Journal, Volume 12, Issue 19, 2025, pages 39457-39468.

Sources:

  • "Integrated Contractual Computing Resources and Efficiency Searchable Caching for Aiot-enabled Green Vehicular Supply Chain." Ieee Internet of Things Journal, 2025;12(19):39457-39468.
  • "Studies from Waseda University Further Understanding of Information and Data Processing (Integrated Contractual Computing Resources and Efficiency Searchable Caching for Aiot-enabled Green Vehicular Supply Chain)." Information Technology Newsweekly, October 21, 2025, p 885.
  • Waseda University, Graduate School of Information Production & Systems, Kitakyushu 8080135, Japan (Contact: Jun Wu).