https://github.com/yudis-bit/cognitive-routing-protocol
Next-gen routing protocol for DePIN dynamic, predictive, and incentive-aligned. Built to make networks faster, smarter, and harder to break.
https://github.com/yudis-bit/cognitive-routing-protocol
ai-networking blockchain cognitive-routing decentralized-infrastructure decentralized-network depin layer1 mesh-networking network-simulation predictive-routing routing-protocol self-optimizing-network staking-mechanism trustscore web3 web4
Last synced: 8 months ago
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Next-gen routing protocol for DePIN dynamic, predictive, and incentive-aligned. Built to make networks faster, smarter, and harder to break.
- Host: GitHub
- URL: https://github.com/yudis-bit/cognitive-routing-protocol
- Owner: Yudis-bit
- License: mit
- Created: 2025-08-14T13:16:01.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2025-08-15T00:33:15.000Z (8 months ago)
- Last Synced: 2025-08-15T02:26:33.311Z (8 months ago)
- Topics: ai-networking, blockchain, cognitive-routing, decentralized-infrastructure, decentralized-network, depin, layer1, mesh-networking, network-simulation, predictive-routing, routing-protocol, self-optimizing-network, staking-mechanism, trustscore, web3, web4
- Language: Python
- Homepage:
- Size: 7.81 KB
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Cognitive Routing Protocol (CRP)
[](https://github.com/Yudis-bit/Cognitive-Routing-Protocol)
[](https://opensource.org/licenses/MIT)
This repository contains the complete architecture and functional prototype for the **Cognitive Routing Protocol (CRP)**, a Layer-0/Layer-1 enhancement protocol designed to fundamentally reshape the efficiency, resilience, and profitability of Decentralized Physical Infrastructure Networks (DePIN).
---
## Key Findings from the Prototype
The Python prototype in this repository has successfully validated the core hypothesis of CRP. A comparative analysis between a "Dumb Router" (using Dijkstra's algorithm) and a "Cognitive Router" (using Reinforcement Learning) demonstrated:
* **Adaptive Routing:** The Cognitive Router successfully learned to **dynamically avoid a congested network link**, using it less than **0.1%** of the time, compared to the Dumb Router which was stuck in congestion nearly **40%** of the time.
* **Performance Gains:** By avoiding these bottlenecks, the Cognitive Router achieved **~22% lower average latency** for successful packet deliveries, proving its ability to optimize for overall network health.
* **Full Analysis:** The complete comparative simulation can be run via the `simulations/run_cognitive_sim.py` script.
## Full Project Architecture
The protocol is designed with two primary components working in tandem:
1. **Off-Chain AI Core (Python):**
* A discrete-event simulation environment for modeling a DePIN.
* A **Cognitive Node** agent equipped with a Reinforcement Learning model (Multi-Armed Bandit) to make intelligent, adaptive routing decisions.
2. **On-Chain Trust Layer (Solidity):**
* A `NodeRegistry` smart contract on an Ethereum-compatible blockchain to handle the economic and trust logic.
* Its core functions include node registration, a staking mechanism for collateral, and an on-chain reputation system (`TrustScore`) to incentivize good behavior.
## Tech Stack
* **Simulation & AI Core**: Python 3.10+
* **Smart Contracts**: Solidity ^0.8.20
* **Contract Development Environment**: Hardhat
* **Blockchain Interaction**: Web3.py
* **Dependencies**: OpenZeppelin Contracts
## Getting Started
To run this project locally, you'll need to set up both the simulation and contract environments.
### 1. Running the Python Simulation
1. **Navigate to the simulation folder:**
```bash
cd simulation
```
2. **Create and activate a virtual environment:**
```bash
# Example for Windows
python -m venv venv
.\venv\Scripts\activate
```
3. **Run the comparative simulation:**
This script will run the Dumb Router vs. the Cognitive Router and display the final performance analysis.
```bash
python simulations/run_cognitive_sim.py
```
### 2. Working with the Smart Contracts
1. **Navigate to the contracts folder:**
```bash
cd contracts
```
2. **Install Node.js dependencies:**
```bash
npm install
```
3. **Compile the contracts:**
This command will check for errors and generate the necessary ABI files.
```bash
npx hardhat compile
```
4. **(Optional) Deploy to a testnet:**
You can configure `hardhat.config.js` with your RPC URL and private key to deploy the contract.
## Completed Roadmap
* [x] **Phase 0: Architecture & Whitepaper** - Conceptual design and vision.
* [x] **Phase 1: Simulation Environment** - Modular testbed development in Python.
* [x] **Phase 2: "Dumb" Router (Baseline)** - Dijkstra's algorithm implementation for benchmarking.
* [x] **Phase 3: Cognitive Node (AI Core)** - AI agent implementation with a Multi-Armed Bandit model.
* [x] **Phase 4: Integration & Comparative Analysis** - Validation of CRP's performance benefits.
* [x] **Phase 5: On-Chain Component Design (Solidity)** - Smart contract architecture for trust and staking.
## Contributing
Contributions are welcome. Please fork the repository, create a dedicated feature branch for your work, and submit a pull request.
## License
This project is licensed under the MIT License.