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Adapting blockchain's proof-of-work mechanism for multiple traveling salesmen problem optimization.

Nareman Sabry1, Bahaa Shabana2, Mohamed Handosa3

  • 1Department of Computer Science, Faculty of Computers and Information, Mansoura University, Mansoura, 35516, Egypt. naremansabry30@gmail.com.

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This study introduces a Proof of Useful Work blockchain for product distribution, optimizing the Traveling Salesman Problem (TSP) to reduce energy consumption and improve delivery routes. The new mechanism enhances efficiency and decreases block generation time.

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Area of Science:

  • Computer Science
  • Operations Research
  • Supply Chain Management

Background:

  • Traditional Proof-of-Work (PoW) blockchains are energy-intensive and offer no direct benefit to network participants.
  • Existing logistics and distribution networks face challenges in optimizing delivery routes and managing data securely.

Purpose of the Study:

  • To propose an energy-efficient blockchain network utilizing Proof of Useful Work (PoUW) for product distribution.
  • To integrate optimization techniques for enhancing delivery routes and reducing travel distances.

Main Methods:

  • Developed a PoUW blockchain where miners solve the Traveling Salesman Problem (TSP) instead of traditional mathematical problems.
  • Employed clustering techniques and Guided Local Search (GLS) to compute shortest paths for distribution routes.
  • Tested the proposed architecture on TSP-LIB instances.

Main Results:

  • The PoUW mechanism achieved an average efficiency of 0.08 compared to other meta-heuristics.
  • The proposed architecture reduced total travel distances by an average of 0.025%.
  • Block generation time decreased by 11.11% compared to existing methods.

Conclusions:

  • The Proof of Useful Work blockchain offers a more sustainable and efficient alternative to traditional PoW for logistics and product distribution.
  • Integrating TSP optimization into blockchain technology significantly improves route efficiency and reduces operational costs.
  • This approach enhances the security and data management capabilities of distribution networks while minimizing environmental impact.