Symbiotic Connectivity: Optimizing Rural Digital Infrastructure with Solar-Powered Mesh Networks Using Multi-Objective Evolutionary Algorithms

TL;DR

This paper introduces an open-source model that optimizes rural mesh network node placement and renewable energy integration using evolutionary algorithms, balancing connectivity and ecological sustainability.

Contribution

It presents a novel multi-objective evolutionary algorithm approach for designing eco-friendly, community-based rural digital infrastructure with solar-powered mesh networks.

Findings

Optimized node placement improves internet coverage in rural areas.

Renewable energy integration enhances sustainability of network operation.

Model demonstrates effective balance between technological and ecological goals.

Abstract

I present an open-source, ecologically integrated model for rural connectivity, merging the location of nodes mesh networks with renewable energy systems. Employing evolutionary algorithms, this approach optimizes node placement for internet access and symbiotic energy distribution. This model, grounded in community collaboration, demonstrates a balance between technological advancement and environmental stewardship, offering a blueprint for sustainable infrastructure in similar rural settings.