Reliable and efficient emergency rescue networks: A blockchain and fireworks algorithm-based approach

Area of Science:

• Supply Chain Management
• Information Systems
• Operations Research

Background:

• The COVID-19 pandemic highlighted challenges in emergency relief distribution.
• Existing networks struggle with information asymmetry and trust issues among rescue stations.
• Reliable and efficient distribution networks are crucial for crisis response.

Purpose of the Study:

• To propose a blockchain-based emergency rescue network for reliable tracking of relief materials.
• To enhance decision-making for efficient delivery of aid.
• To improve the overall operation and distribution quality of emergency supplies.

Main Methods:

• A hybrid blockchain architecture with on-chain verification and off-chain storage was developed.
• A fireworks algorithm was employed for optimal allocation strategy calculation.
• Techniques like chaotic random screening and node request guarantee were integrated for algorithm convergence.

Main Results:

• The proposed system effectively tracks relief material transactions.
• The hybrid blockchain architecture reduces storage overhead while ensuring data integrity.
• The fireworks algorithm demonstrated good convergence for optimal allocation.

Conclusions:

• Integrating blockchain technology and the fireworks algorithm significantly enhances emergency relief networks.
• The system improves the efficiency and quality of relief material distribution.
• This approach offers a reliable solution for managing resources during public health emergencies.