🌍 LoRi - LoRa Based Emergency Communication System
An innovative Emergency Communication System (ECS) that leverages LoRa technology to provide reliable, long-range communication during disaster scenarios.

Overview

LoRi is an innovative Emergency Communication System (ECS) that leverages LoRa (Long Range) technology to provide reliable, long-range communication during disaster scenarios when traditional communication infrastructure is unavailable. It enables critical communication when it’s needed most.

🎯 The Problem

During emergencies and natural disasters, traditional communication networks often fail due to infrastructure damage or network congestion. Existing solutions face several limitations:

  • Cellular Networks: Often overloaded or damaged during disasters
  • Wi-Fi/Bluetooth: Limited range (typically <100m)
  • Satellite Phones: Expensive and not widely available
  • Walkie-Talkies: Limited range and require direct line of sight

💡 Our Solution

LoRi provides an infrastructure-independent emergency communication system with:

  • Long-range communication using LoRa technology (up to 15 km in rural areas)
  • Multi-hop networking to extend coverage beyond direct line of sight
  • Voice activation for hands-free emergency alerts
  • Real-time location tracking of distress signals
  • Web-based dashboard for monitoring and management

🛠️ System Architecture

Hardware Components

  • LoRa Nodes: Arduino-based devices with LoRa modules
  • Gateway: Central LoRa receiver connected to the internet
  • Sensors: GPS for location tracking, microphone for voice activation

Software Stack

  • Node.js Backend: Handles data processing and storage
  • MongoDB Database: Stores emergency alerts and location data
  • Web Interface: Real-time monitoring dashboard with interactive map

🚀 Key Features

  • Long-range Communication: Up to 15 km in optimal conditions
  • Low Power Consumption: Battery life of several years
  • Secure Data Transmission: Encrypted communication
  • Real-time Tracking: GPS-enabled location services
  • Multi-hop Networking: Extends coverage through node-to-node communication
  • Voice Activation: Hands-free emergency alerts

🏗️ Technical Implementation

Hardware Setup

  • Microcontroller: ESP32 or Arduino MKR WAN 1300
  • LoRa Module: RFM95/96 for long-range communication
  • GPS Module: NEO-6M for location tracking
  • Power Source: Rechargeable battery pack

Software Components

  • Backend: Node.js with Express
  • Database: MongoDB for data storage
  • Frontend: Real-time dashboard with interactive map
  • Firmware: Arduino-based for LoRa nodes

📱 Web Dashboard

The web interface provides:

  • Real-time map view of active nodes
  • Emergency alerts with location markers
  • Node status monitoring
  • Historical data and analytics
  • Alert management system

🎯 Use Cases

Disaster Response

  • Coordinate rescue operations when traditional networks are down
  • Track first responders in the field
  • Send emergency alerts to affected areas

Remote Areas

  • Provide communication in areas with no cellular coverage
  • Enable connectivity for remote communities
  • Support for agricultural and environmental monitoring

Event Management

  • Temporary communication networks for festivals
  • Emergency coordination at large gatherings
  • Staff communication in challenging environments

🚀 Getting Started

Prerequisites

  • Node.js (v14 or later)
  • MongoDB Atlas account (or local MongoDB instance)
  • Arduino IDE (for hardware programming)
  • LoRa modules (e.g., RFM95/96)

Installation

  1. Clone the repository

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    git clone https://github.com/johntharian/lori.git
    cd lori/Node
    
  2. Install dependencies

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    npm install
    
  3. Configure environment Create a .env file with your MongoDB connection string:

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    MONGODB_URI=mongodb+srv://<username>:<password>@cluster.mongodb.net/lori
    PORT=3000
    
  4. Start the server

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    node index.js
    
  5. Access the dashboard Open http://localhost:3000 in your web browser

🎥 Demo

Check out our YouTube demo to see LoRi in action!


Last modified on 2020-02-09