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ECHONET

A comprehensive decentralized environmental monitoring ecosystem that combines IoT sensors, multi-blockchain protocols, AI/ML services, and distributed computing to create a transparent, incentivized network for environmental data collection, verification, and analysis.

ECHONET leverages cutting-edge technologies including Fetch.AI autonomous agents for consensus validation, Polygon smart contracts for tokenomics, IPFS/Filecoin for decentralized storage, and real-time MQTT communication for sensor networks.

ECHONET Dashboard

🚀 Key Features

🌍 Environmental Monitoring

  • IoT Sensor Network: Distributed audio sensors with real-time decibel monitoring
  • Real-time Data Streaming: MQTT-based sensor communication + FastAPI SSE streams
  • Geographic Validation: Location-based consensus using GPS coordinates
  • Peer-to-Peer Verification: Fetch.AI autonomous agents validate sensor data authenticity
  • Audio Processing: Real-time RMS/dB calculation with CSV logging and ASCII visualization

⛓️ Multi-Blockchain Architecture

  • Polygon Smart Contracts: EVM-compatible contracts for tokenomics and staking
  • Fetch.AI Agent Network: Autonomous consensus validation with cryptographic signatures
  • IPFS/Filecoin Storage: Decentralized data storage with CID-based retrieval
  • MQTT Broker Integration: HiveMQ for real-time sensor communication
  • Cross-chain Data Flow: Seamless data pipeline from sensors to blockchain

🔐 Identity & Security

  • WorldCoin Verification: Human-proof identity system integration
  • ENS Support: Ethereum Name Service for user-friendly addresses
  • Wallet Integration: MetaMask and Web3 wallet compatibility
  • Cryptographic Verification: End-to-end data integrity and authenticity

💰 Token Economy

  • ECHO Token: Native utility token for rewards and staking
  • Staking Mechanisms: Sensor operators stake tokens for network participation
  • Automated Rewards: Smart contract-based incentive distribution
  • DePIN Marketplace: Trade and manage decentralized sensor devices

🎨 Modern User Experience

  • React 19 Frontend: Latest React features with server components
  • 3D Visualizations: Three.js-powered environmental data visualization
  • Responsive Design: Mobile-first approach with Tailwind CSS
  • Real-time Updates: Live dashboard with animated charts and metrics

🚀 Deployment & Operations

Docker Containerization

# Full stack deployment
docker-compose up -d

# Scale services
docker-compose up --scale backend=3 --scale python-service=2

# Health monitoring
./monitor_echonet.sh

Fluence Cloud Deployment

cd Deployment-Fluence/
terraform init
terraform apply
# Deploys to decentralized Fluence network

Development Workflow

  • Hot Reloading: Vite for instant frontend updates
  • API Documentation: FastAPI auto-generated docs at /docs
  • Testing Suite: Foundry for smart contract testing
  • Monitoring: Built-in health checks and logging

Production Features

  • Load Balancing: Nginx reverse proxy configuration
  • SSL/TLS: Automatic HTTPS with Let's Encrypt
  • Auto-scaling: Kubernetes-ready container orchestration
  • Monitoring: Grafana dashboards and alerting systems for tokenomics, Fetch.AI autonomous agents for data validation, Filecoin for decentralized storage, and a modern React frontend with real-time analytics.

WhatsApp Image 2025-09-27 at 16 08 47

🛠️ Technology Stack

Frontend & UI

  • React 19 - Modern UI library with latest features
  • Vite - Fast build tool and development server
  • Tailwind CSS 4 - Utility-first CSS framework
  • Three.js - 3D graphics and visualizations
  • Framer Motion - Advanced animations
  • Ethers.js 6 - Ethereum blockchain interactions
  • Leaflet - Interactive maps for sensor locations
  • Recharts - Data visualization and analytics charts

Backend & APIs

  • Node.js - Server-side JavaScript runtime
  • Express.js 5 - Web framework for APIs
  • Filoz Synapse SDK - Filecoin integration
  • GraphProtocol GRC-20 - The Graph protocol support
  • ENS.js - Ethereum Name Service resolution
  • WorldCoin IDKit - Identity verification
  • Viem - Ethereum client utilities

Blockchain & Protocols

  • Polygon - EVM-compatible blockchain for smart contracts
  • Fetch.AI - Autonomous agent network for data validation
  • Filecoin - Decentralized storage network via IPFS
  • Ethereum - ENS resolution and cross-chain compatibility
  • Foundry - Smart contract development and testing

Hardware & IoT

  • Python 3.x - IoT sensor programming and real-time audio processing
  • SoundDevice & NumPy - Real-time audio capture and RMS/dB calculation
  • FastAPI - High-performance async web framework for sensor APIs
  • MQTT (Paho) - Message queuing for sensor network communication
  • GetMac - Automatic MAC address detection for device identification
  • Fetch.AI uAgents - Autonomous agent framework for consensus protocols
  • Rust - High-performance kernel monitoring (Raspberry Pi)

Infrastructure & DevOps

  • Fluence Network - Decentralized serverless computing
  • Docker & Docker Compose - Containerization and orchestration
  • Terraform - Infrastructure as Code for Fluence deployment
  • Nginx - Reverse proxy and web server
  • GitHub Actions - CI/CD pipelines

Architecture Overview

ECHONET leverages a distributed microservice architecture deployed on Fluence Network - a decentralized computing platform that provides serverless, peer-to-peer infrastructure for our environmental monitoring services.

🏗️ Microservice Architecture on Fluence

┌─────────────────────────────────────────────────────────────┐
│                    FLUENCE NETWORK                          │
│  ┌─────────────────────────────────────────────────────┐    │
│  │              ECHONET Services                       │    │
│  │                                                     │    │
│  │  ├── Sensor Data Aggregation Service               │    │
│  │  ├── ENS Resolution Service                         │    │
│  │  ├── WorldCoin Identity Verification Service       │    │
│  │  ├── Staking & Rewards Service                     │    │
│  │  ├── IPFS/Filecoin Storage Service (CID)          │    │
│  │  ├── HyperGraph Analytics Service                  │    │
│  │  └── Python Heatmap Service                        │    │
│  └─────────────────────────────────────────────────────┘    │
└─────────────────────────────────────────────────────────────┘
            ↕️ P2P Communication & Service Discovery
┌─────────────────────────────────────────────────────────────┐
│                 Multi-Protocol Layer                        │
│  ├── Fetch.AI     # Autonomous agent services              │
│  ├── FileCoin     # Decentralized storage protocols        │
│  └── Polygon      # Smart contract execution               │
└─────────────────────────────────────────────────────────────┘
            ↕️ Blockchain & Storage Interactions
┌─────────────────────────────────────────────────────────────┐
│              Hardware & Frontend Layer                      │
│  ├── IoT Sensors  # Environmental data collection          │
│  └── Web Frontend # React-based user interface             │
└─────────────────────────────────────────────────────────────┘

📁 Project Structure

├── Frontend/                    # 🎨 React 19 + Vite Frontend Application
│   ├── src/
│   │   ├── components/         # Reusable UI components
│   │   ├── pages/             # Application pages and routes  
│   │   ├── context/           # React Context providers (Auth, EchoNet, Data)
│   │   ├── hooks/             # Custom React hooks (device registration, etc.)
│   │   ├── ABI/               # Smart contract ABIs (EchoNet Token, Exchange)
│   │   └── assets/            # Static assets (images, videos, icons)
│   ├── components.json         # shadcn/ui components configuration
│   ├── tailwind.config.js     # Tailwind CSS configuration
│   ├── Dockerfile             # Frontend containerization
│   └── docker-compose.yml     # Frontend service configuration
│
├── Server/                      # 🚀 Node.js Express API Gateway
│   ├── routes/                 # RESTful API endpoints
│   │   ├── sensorRoutes.js     # IoT sensor data management
│   │   ├── ensRoutes.js        # Ethereum Name Service resolution
│   │   ├── wordCoinRoutes.js   # WorldCoin identity verification
│   │   ├── stakeDataRoutes.js  # Token staking and rewards
│   │   ├── CidRoutes.js        # IPFS/Filecoin content addressing
│   │   └── hyperGraphSensor.js # The Graph protocol analytics
│   ├── controller/             # Business logic controllers
│   ├── ABI/                   # Smart contract interfaces
│   ├── Dockerfile             # Backend containerization
│   └── nginx.conf             # Reverse proxy configuration
│
├── Python-microservice/         # 🐍 FastAPI Analytics Service
│   ├── index.py               # FastAPI app for heatmap generation
│   ├── requirements.txt       # Python dependencies
│   └── Dockerfile            # Python service containerization
│
├── Hardware/                    # 🔧 IoT Sensor Infrastructure
│   ├── combined.py            # Audio monitoring + FastAPI streaming
│   ├── sound-input.py         # Audio sensor processing utilities
│   ├── stream.py              # Real-time data streaming
│   ├── requirements.txt       # Python ML/IoT dependencies
│   └── kernel_monitoring/     # Rust-based system monitoring
│       ├── Cargo.toml         # Rust project configuration
│       ├── src/               # Rust monitoring code
│       └── RASPBERRY_PI_SETUP.md # Hardware setup guide
│
├── Protocol/                    # ⛓️ Multi-Blockchain Integration
│   ├── Pi_fetch_config/       # 🎯 **MAIN SENSOR NODE IMPLEMENTATION**
│   │   ├── super_combined.py  # **Complete device node with all features**
│   │   ├── device_node.py     # Fetch.AI agent + MQTT + consensus logic
│   │   ├── combined.py        # Audio monitoring + FastAPI streaming
│   │   └── requirements.txt   # All sensor node dependencies
│   ├── Polygon/               # Ethereum-compatible smart contracts
│   │   ├── src/               # Solidity contracts (EchoNetToken, MainContract)
│   │   ├── script/            # Foundry deployment scripts
│   │   ├── test/              # Smart contract tests
│   │   └── foundry.toml       # Foundry configuration
│   ├── Fetch.AI/              # Autonomous agent network
│   │   ├── fetch_services/    # Agent definitions and protocols
│   │   ├── backend/           # Flask API for agent coordination
│   │   ├── config/            # Environment and settings
│   │   └── requirements.txt   # Python agent dependencies
│   ├── FileCoin/              # Decentralized storage integration
│   │   ├── app.js             # Synapse SDK integration
│   │   ├── Routes/            # Storage API endpoints
│   │   └── Controller/        # Storage business logic
│   └── SubGraph/              # The Graph protocol indexing
│
├── Deployment-Fluence/          # ☁️ Infrastructure as Code
│   ├── main.tf               # Terraform Fluence service definitions
│   ├── variables.tf          # Infrastructure variables
│   ├── outputs.tf            # Deployment outputs
│   ├── terraform.tfvars      # Environment-specific values
│   └── fluence-service.json  # Fluence service configuration
│
├── depin-marketplace/           # 🛒 DePIN Device Marketplace
│   ├── server.js             # Express marketplace API
│   ├── client.js             # Client SDK for device trading
│   ├── test-minimal.js       # Marketplace integration tests
│   └── Dockerfile            # Marketplace containerization
│
├── docker-compose.yml          # 🐳 Multi-service orchestration
├── monitor_echonet.sh         # 📊 System monitoring and health checks
└── package.json              # Root project dependencies

🚀 Getting Started

Prerequisites

Before running ECHONET, ensure you have the following installed:

  • Node.js (v18 or higher) and npm
  • Docker and Docker Compose
  • Python 3.8+ with pip
  • Git for cloning the repository
  • MetaMask or compatible Web3 wallet
  • Audio Input Device (USB microphone or system audio)
  • Fetch.AI AgentVerse Account for agent mailbox configuration

Quick Start with Docker

The fastest way to run ECHONET is using Docker Compose:

# Clone the repository
git clone https://github.com/Saurabh-0312/ECHONET.git
cd ECHONET

# Start all services
docker-compose up -d

# View logs
docker-compose logs -f

# Access the application
# Frontend: http://localhost:80
# Backend API: http://localhost:3001
# Python Service: http://localhost:8000

Manual Development Setup

For development with hot reloading:

# 1. Setup Frontend
cd Frontend
npm install
npm run dev  # Runs on http://localhost:5173

# 2. Setup Backend (new terminal)
cd ../Server
npm install
npm start  # Runs on http://localhost:3001

# 3. Setup Python Microservice (new terminal)  
cd ../Python-microservice
pip install -r requirements.txt
uvicorn index:app --reload --port 8000

# 4. Setup Sensor Node (new terminal) - MAIN COMPONENT
cd ../Protocol/Pi_fetch_config
pip install -r requirements.txt

# Option A: Run complete sensor node with all features
python super_combined.py

# Option B: Run individual components
python combined.py      # Audio monitoring only
python device_node.py   # Agent consensus only

🎯 Super Combined Sensor Node

The super_combined.py script is the complete sensor node implementation that includes:

  • 🎤 Real-time Audio Processing: Captures audio, calculates dB levels
  • 📡 MQTT Communication: Publishes data every 2 seconds to HiveMQ broker
  • 🤖 Fetch.AI Agent Network: Autonomous consensus validation with peer verification
  • 🌐 FastAPI Web Interface: Real-time streaming API and status endpoints
  • 🔗 API Integration: Sends validated data to external collectors
  • 💾 Local Logging: CSV file logging with timestamps
# Run the complete sensor node
cd Protocol/Pi_fetch_config
python super_combined.py [optional_mac_address]

# Outputs:
# 🎤 Audio processing started...
# 📡 MQTT Publisher connected successfully
# 🌐 FastAPI server on http://0.0.0.0:5007
# 🤖 Agent running with consensus validation

Environment Configuration

Create .env files in the respective directories:

Frontend/.env:

VITE_TOKEN_CONTRACT_ADDRESS=your_token_contract_address
VITE_MAIN_CONTRACT_ADDRESS=your_main_contract_address
VITE_BACKEND_URL=http://localhost:3001

Server/.env:

PROVIDER_PRIVATE_KEY=your_private_key
ETHEREUM_NODE_URL=your_rpc_url
PORT=3001

Protocol/Pi_fetch_config Configuration:

Edit the hardcoded configuration section in super_combined.py:

# ======================================================================================
# --- HARDCODED CONFIGURATION ---
# ❗️ EDIT THE VALUES IN THIS SECTION ❗️
# ======================================================================================

# 1. Your central Flask server API
API_BASE_URL = "https://fetch-dev.onrender.com"

# 2. Your Agentverse API Key from https://agentverse.ai
AGENTVERSE_API_KEY = "your_agentverse_api_key_here"

# 3. External data ingestion API
EXTERNAL_INGEST_API_URL = "http://170.205.61.163:5001/ingest"

# 4. Raw data collector API
RAW_DATA_COLLECTOR_URL = "http://170.205.61.163:3001/api/sensor"

# 5. MQTT Broker (usually no change needed)
MQTT_BROKER = "broker.hivemq.com"
MQTT_PORT = 1883

# 6. Audio settings (adjust for your microphone)
SAMPLERATE = 48000
BLOCKSIZE = 1024
CHANNELS = 1

# 7. FastAPI settings
FASTAPI_HOST = "0.0.0.0"
FASTAPI_PORT = 5007

Smart Contract Deployment

Deploy contracts using Foundry:

cd Protocol/Polygon

# Install dependencies
forge install

# Compile contracts
forge build

# Deploy to testnet

## 🔐 Certbot / Let's Encrypt (HTTPS)

This repository includes a simple Docker Compose friendly setup for obtaining and renewing Let's Encrypt certificates using the webroot plugin and the official Certbot image.

What was added:
- A `certbot` service in `docker-compose.yml` which mounts two named volumes:
  - `certbot-www` mounted into containers at `/var/www/certbot` (webroot for ACME challenges)
  - `certbot-etc` mounted into the certbot container at `/etc/letsencrypt` (stores certificates)
- Nginx configs in `Frontend/nginx.conf` and `Server/nginx.conf` now serve `/.well-known/acme-challenge/` from `/var/www/certbot`.
- A helper script `certbot-init.sh` to request certificates easily.

Quick steps to obtain a certificate (example for `api.echonet.live`):

1. Update Nginx `server_name` in `Frontend/nginx.conf` or `Server/nginx.conf` to your real domain. Ensure your DNS points to the host running Docker.

2. Start only the frontend and certbot volumes so Nginx can serve ACME challenges:

```bash
# create and start containers (frontend provides the ACME challenge response)
docker compose up -d frontend
  1. Run the helper to request certs (replace domain and email):
./certbot-init.sh -d api.echonet.live -m you@example.com

If you need staging (for testing without rate limits):

./certbot-init.sh -d api.echonet.live -m you@example.com --staging
  1. After successful issuance the certificates are stored in the certbot-etc Docker volume. To make nginx use them inside a container:
  • Update your Nginx SSL ssl_certificate and ssl_certificate_key paths to point to /etc/letsencrypt/live/<your-domain>/fullchain.pem and /etc/letsencrypt/live/<your-domain>/privkey.pem respectively inside the container (the Server/nginx.conf already does this for api.echonet.live).
  • Restart the nginx-containing service so it picks up the new certs, for example:
docker compose restart frontend
# or if nginx runs in a different container
docker compose restart backend

Renewal:

  • Use docker compose run --rm certbot renew --webroot -w /var/www/certbot on a schedule (cron or a host systemd timer). The certbot container needs access to both volumes; the webroot must be served by nginx during renewal.
  • Example one-liner to renew and reload nginx:
docker compose run --rm certbot renew --webroot -w /var/www/certbot && docker compose restart frontend

Security note: Keep the certbot-etc volume safe; it contains private keys. For production, consider mounting the volume to a host directory with careful permissions or use a secret manager.

If you'd like, I can also:

  • Add a docker-compose one-shot task or Makefile target to automate issuance and renewal.
  • Add an example systemd timer or GitHub Actions workflow for renewals. forge script script/Script.s.sol --rpc-url $RPC_URL --private-key $PRIVATE_KEY --broadcast

Verify contracts (optional)

forge verify-contract <contract_address> src/EchoNetToken.sol:EchoNetToken --etherscan-api-key $ETHERSCAN_API_KEY


### Monitoring and Health Checks

Use the included monitoring script:

```bash
# Make executable and run
chmod +x monitor_echonet.sh
./monitor_echonet.sh

# Check container status
docker ps
docker-compose ps

# View service logs
docker-compose logs frontend
docker-compose logs backend
docker-compose logs python-service

� Sensor Node Architecture

ECHONET's core innovation is the distributed sensor node network powered by Fetch.AI autonomous agents:

🤖 Fetch.AI Agent Consensus System

  • Peer-to-Peer Validation: Agents validate each other's sensor data using proximity algorithms
  • Geographic Grid System: Location-based grouping for efficient consensus (0.1° grid squares)
  • Smart Consensus Logic: Haversine distance + sound attenuation calculations
  • Cryptographic Signatures: Ed25519 signatures for tamper-proof validation
  • Failure Handling: Automatic stake slashing for sensors that consistently fail validation

📡 Real-time Communication Pipeline

🎤 Audio Input → 🔢 dB Processing → 📦 MQTT Queue → 🌐 Network Broadcast
                                         ↓
🤖 Agent Validation ← 🔐 Cryptographic Verification ← 👥 Peer Consensus
                                         ↓
📊 External APIs ← 💾 IPFS Storage ← ✅ Validated Data

🏗️ Multi-threaded Architecture

  1. Main Thread: Fetch.AI agent execution (blocking event loop)
  2. Audio Thread: Real-time audio capture and dB calculation
  3. MQTT Publisher: Publishes sensor data every 2 seconds
  4. MQTT Subscriber: Listens for peer sensor data
  5. FastAPI Thread: Web server for status monitoring and streaming

🔧 Deployment Options

Option 1: Terraform Infrastructure (Advanced)

cd Deployment-Fluence/
terraform init && terraform apply
# Deploys to distributed infrastructure

Option 2: Direct Sensor Node (Recommended)

cd Protocol/Pi_fetch_config/
python super_combined.py
# Runs complete sensor node locally

📡 API Documentation

ECHONET provides multiple API interfaces for different use cases:

🎯 Sensor Node APIs (super_combined.py)

FastAPI Server: http://localhost:5007 (or your device IP)

Real-time Streaming

GET    /stream                  # Server-Sent Events stream of audio data
GET    /status                  # Current device status and metrics
GET    /health                  # Health check endpoint

Example SSE Stream Response:

{
  "avg_db": 45.32,
  "mac_address": "2c:cf:67:c5:6b:63", 
  "timestamp": "2025-09-27T19:13:05.554833",
  "agent_address": "agent1qthegeucnx2gj0w8agu0xfhpf7lyjq5l8n3e89nqxhv8gvry2nwhk2hsytn",
  "agent_name": "worker_agent_4"
}

MQTT Topics

# Publishing sensor data
echonet/sensors/{MAC_ADDRESS}

# Payload format:
{
  "mac_address": "2c:cf:67:c5:6b:63",
  "timestamp": "2025-09-27T19:13:05.554833", 
  "decibel": 45.32
}

🌐 Backend API Endpoints

Base URL: http://localhost:3001 (development)

Sensor Data Collection

POST   /api/sensor              # Submit sensor readings (from devices)
GET    /registry                # Get sensor registry and configurations
POST   /request-slash           # Request stake slashing for failed sensors

Identity & Authentication

POST   /api/worldcoin/verify    # Verify WorldCoin identity proof
POST   /api/ens/resolve         # Resolve ENS name to address
POST   /api/ens/reverse         # Reverse resolve address to ENS name

Storage & IPFS

POST   /api/cid/store           # Store data on IPFS/Filecoin
GET    /api/cid/retrieve/:cid   # Retrieve data by Content ID
POST   /api/cid/pin             # Pin important data
DELETE /api/cid/unpin/:cid      # Unpin data from storage

🐍 Python Microservice

Base URL: http://localhost:8000

GET    /heatmap                 # Generate environmental heatmaps
POST   /analyze/audio           # Process audio sensor data
GET    /health                  # Service health check
GET    /docs                    # FastAPI interactive documentation

📊 Real-time Data Streaming

Server-Sent Events (SSE):

// Connect to sensor node stream
const eventSource = new EventSource('http://192.168.1.100:5007/stream');

eventSource.onmessage = (event) => {
  const sensorData = JSON.parse(event.data);
  console.log(`Sensor ${sensorData.mac_address}: ${sensorData.avg_db} dB`);
};

MQTT Subscription:

// Using MQTT.js client
const mqtt = require('mqtt');
const client = mqtt.connect('mqtt://broker.hivemq.com:1883');

client.subscribe('echonet/sensors/+');
client.on('message', (topic, message) => {
  const data = JSON.parse(message.toString());
  console.log('Received sensor data:', data);
});

Error Handling

All APIs use consistent error response format:

{
  "success": false,
  "error": "Error description",
  "code": "ERROR_CODE",
  "timestamp": "2025-09-27T10:30:00Z"
}

🎯 Complete Deployment Example

Quick Start: Run a Complete Sensor Node

# 1. Clone repository
git clone https://github.com/Saurabh-0312/ECHONET.git
cd ECHONET

# 2. Setup sensor node
cd Protocol/Pi_fetch_config
pip install -r requirements.txt

# 3. Configure your settings in super_combined.py
# - Add your Agentverse API key
# - Register your device MAC address via web UI
# - Configure API endpoints

# 4. Run complete sensor node
python super_combined.py

# Expected output:
# ✅ Automatically detected MAC Address: 2c:cf:67:c5:6b:63
# ✅ Successfully fetched registry from API
# 🎤 Audio processing started...
# 📡 MQTT Publisher connected successfully  
# 🌐 FastAPI server on http://0.0.0.0:5007
# 🤖 Agent running with consensus validation

📊 Key System Outputs

  • Real-time dB Monitoring: ASCII visualization + numeric values
  • MQTT Publishing: Every 2 seconds to echonet/sensors/{MAC}
  • API Data Submission: Validated data sent to collector APIs
  • Peer Consensus: Fetch.AI agents validate neighboring sensor data
  • Web Interface: Status dashboard at http://device_ip:5007/status

🚀 Production Features

  • Autonomous Operation: Runs 24/7 with automatic error recovery
  • Peer-to-Peer Validation: No single point of failure for data validation
  • Multi-threaded Architecture: Concurrent audio, MQTT, agent, and web processing
  • Geographic Consensus: Location-based validation using GPS coordinates
  • Cryptographic Security: Ed25519 signatures for all agent communications
  • Token Economics: Automatic stake slashing for sensors that fail validation consistently
  • Real-time Streaming: Multiple APIs for data consumption (SSE, MQTT, REST)
  • Cross-platform Support: Runs on Raspberry Pi, desktop, or cloud instances

About

Echonet: A DePIN that rewards providers of validated, real-world sound data with on-chain crypto.

echonet.live/

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