AISim
  • 1. Market Background
    • 1.1 Development Prospects
    • 1.2 Potential Challenges
  • 2. AISim: The World’s First Web3 IoE Network
    • 2.1 AIA Protocol (AISim Intelligent Access Protocol)
    • 2.2 Decentralized Identity Authentication (DID) System
    • 2.3 Distributed AI Acceleration Engine
    • 2.4 Intelligent Privacy Computing Module
    • 2.5 DeAI Client (Decentralized AI Client)
    • 2.6 IoE Data Management and Intelligent Caching System
  • 3. Technical Architecture
    • 3.1 AIA Protocol
      • 3.1.1 Protocol Adaptation Layer
      • 3.1.2 Distributed Task Scheduling Engine
      • 3.1.3 Decentralized Communication Network
      • 3.1.4 Cross-layer Data Encryption and Privacy Protection
      • 3.1.5 Dynamic Resource Scheduling and Optimization
    • 3.2 Distributed AI Acceleration
      • 3.2.1 Edge Node Computing Optimization
      • 3.2.2 Multi-Node Distributed Execution
      • 3.2.3 Privacy-Preserving Collaborative Training
    • 3.3 Decentralized Identity and Access Management
      • 3.3.1 Identity Verification and Access Level Grading
      • 3.3.2 Multi-level Data Protection
  • 4. Application Scenario
    • 4.1 Smart Healthcare and Health Management
    • 4.2 Autonomous Driving and Intelligent Transportation
    • 4.3 Agricultural Internet of Things and Precision Agriculture
    • 4.4 Industrial Automation and Intelligent Manufacturing
    • 4.5 Smart City and Public Services
    • 4.6 Edge Computing and Distributed AI
  • 5. IoE Web3 Ecosystem Construction
    • 5.1 DID Physical Nodes
      • 5.1.1 Types of Smart SIM Cards
      • 5.1.2 Rights of DID Physical Nodes
    • 5.2 MVNO Integration
    • 5.3 Ecosystem Incentives
  • 6. Tokenomics
    • 6.1 Token Distribution
    • 6.2 AST Token Use Cases
  • 7.Roadmap
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  1. 2. AISim: The World’s First Web3 IoE Network

2.1 AIA Protocol (AISim Intelligent Access Protocol)

The AIA Protocol is a core component of the AISim ecosystem, enabling efficient integration and collaboration between IoE devices and AI Agents through various innovative technological means. The protocol's design focuses on dynamic adaptation, data flow, and intelligent task management, ensuring that devices and systems in the IoE environment can work together to meet the dual needs of efficiency and privacy protection.

  • Dynamic Adaptation Layer:

The dynamic adaptation layer of the AIA Protocol can automatically identify and adapt to a variety of IoT protocols, including MQTT, CoAP, Zigbee, etc., providing a unified access interface. This means that devices can connect to the network directly without complex configurations and achieve efficient interconnection with AI Agents. This layer also addresses compatibility issues between different devices and protocols, allowing both traditional devices and emerging smart hardware to quickly and seamlessly connect to the AISim network.

  • Data Flow Engine:

The AIA Protocol employs decentralized storage technology to ensure that data flows between globally distributed nodes, guaranteeing the security, availability, and high fault tolerance of the system. Additionally, the protocol introduces efficient encrypted transmission technology to ensure the privacy and integrity of data during transmission, meeting the high requirements of IoE for real-time performance and privacy protection.

  • Intelligent Task Manager:

The intelligent task manager dynamically schedules and assigns tasks through AI algorithms. It monitors device status and network load in real-time, automatically adjusts resource allocation, including computing, storage, bandwidth, etc., to maximize the collaborative efficiency between IoE devices and AI Agents. The manager also optimizes resource scheduling based on the priority and complexity of tasks, ensuring that high-priority tasks receive timely responses, thereby enhancing the overall efficiency of the system.

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Last updated 1 month ago