About Lora-Net

Problem Statement

In disaster-prone or remote areas where conventional communication infrastructure is often absent or disrupted, there is a pressing need for a practical solution to establish reliable communication networks. Natural disasters, such as hurricanes or earthquakes, can disrupt communication channels, leaving communities in isolation. To address this issue, we aim to create a mobile network solution using Meshtastic, Arduino-based nodes, and drones. The objective is to develop a system that deploys a mobile network capable of providing critical communication in such areas. This solution aims to mitigate the problem by ensuring timely and essential communication, ultimately enhancing emergency response efforts.

Methodology

Our approach encompasses two key components: hardware development and software implementation. In hardware development, we carefully select and configure essential components, including Arduino-based nodes with Meshtastic capabilities and specialized drones designed for network deployment. Rigorous testing in controlled environments ensures hardware performance, signal strength, and connectivity, guaranteeing reliability in the field.

On the software side, we create an application to serve as the central controller of our mobile network. Users interact with this app to define areas of interest on a map, specifying desired network coverage parameters. An algorithm utilizes this input to determine optimal positioning of nodes and drones, maximizing coverage and signal strength. Integration of Received Signal Strength Indicator (RSSI) data into the software dynamically optimizes node and drone positions for enhanced network performance.

For mobile network deployment, users trigger network deployment through the application, generating an on-demand "mobile" network. Drones play a crucial role by strategically positioning nodes to ensure adequate network coverage. The software enables drones to adapt to changing conditions, continually optimizing network efficiency.

The project concludes with comprehensive testing and evaluation. Simulating disaster scenarios and network-deprived areas assesses the mobile network’s real-world performance. Key performance metrics, including signal strength, network stability, and coverage area, guide our evaluation. Valuable feedback from first responders, emergency personnel, and field users drives further refinements.