III. Technical Solution: AI-Driven Terminal Device Network Communication Method

Matrix Layer Protocol (MLP) introduces an AI-driven terminal device network architecture in its communication approach, optimizing data transmission efficiency through a decentralized approach, achieving more efficient communication and interaction between terminal devices. The design of MLP not only enhances the flexibility and scalability of the network through its layered structure but also injects intelligent solutions into the network communication of terminal devices through AI technology.

MLP Protocol Architecture Display:

MLP Protocol Architecture Diagram Matrix Layer Protocol (MLP) is a multi-layered protocol system with the following key structural layers:

1. Physical Layer:

   • Responsible for the connection and communication of underlying devices. It supports the physical connection of terminal devices (such as mobile phones, IoT devices, etc.), ensuring the basic hardware support for data transmission.

2. Transmission Layer:

   • Optimizes data transmission paths through intelligent routing mechanisms, reducing latency and improving efficiency. It ensures the efficient flow of data within the network.

3. Security Layer:

   • Provides encryption and authentication functions to ensure the security of data during transmission, preventing external attacks and information leaks.

4. Application Layer:

   • Supports the operation of DApps (decentralized applications) and smart contracts, allowing developers and users to interact directly at this level.

5. Smart Contract Layer:

   • Provides an environment for the execution of decentralized business logic. Users create, execute, and maintain smart contracts through this layer.

6. Data Layer:

   • Responsible for data storage and management, supporting efficient data access and ensuring the integrity and reliability of data.

7. Extension Layer:

   • Provides future expansion functions, supporting cutting-edge technologies such as AI integration and quantum communication, reserving interfaces for future protocol expansion.

8. Distributed Compute Contribution Module:

   • Allows users to contribute their device's computing resources, forming a decentralized computing network that supports the computational needs of platform applications.