The Wireless Mesh Network (WMN) stands out as a powerful solution to bridge the digital divide between rural and urban areas. By utilizing multi-hop communication, it extends the reach of conventional wireless systems across vast territories. However, the success of such deployments depends on precise simulations to determine the optimal placement of network equipment.
While numerous simulators exist for wireless network planning, they often suffer from significant limitations: they are complex, inaccessible to non-specialists, and require advanced skills in programming and network administration. These barriers hinder community-led initiatives, especially in regions lacking local technical expertise.
Project Objective
The goal of this work is to simplify the deployment process by developing a dedicated simulator that automates the planning and geographic positioning of routers within a target area.
Methodology and Technology
To achieve this, we developed a web-based simulator using:
GeoDjango: An extension of the Django framework specifically designed for handling and visualizing geospatial data.
Python: The core language for implementing network logic and optimization routines.
The Optimization Model
The simulator performs network planning by integrating several critical variables:
Wi-Fi Technology Specifications: Accounting for the specific standards and range of the hardware used.
Signal Attenuation: Modeling how physical distance and environmental factors degrade connectivity.
Cost-Efficiency: Prioritizing router placement in areas with reliable power supply to minimize installation and maintenance costs.
This planning process is driven by a multi-objective node placement optimization model. By balancing coverage maximization with cost and signal stability, the system identifies the most strategic geographic coordinates for each router, making professional-grade network design accessible to everyone.