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

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Détails bibliographiques
Auteur principal:	Benitez, Yadira Sanchez
Format:	Preprint
Publié:	2024
Sujets:	Neural and Evolutionary Computing
Accès en ligne:	Acceder al recurso
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author	Benitez, Yadira Sanchez
author_facet	Benitez, Yadira Sanchez
contents	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.
format	Preprint
id	arxiv_https___arxiv_org_abs_2407_11986
institution	arXiv
publishDate	2024
record_format	arxiv
spellingShingle	Symbiotic Connectivity: Optimizing Rural Digital Infrastructure with Solar-Powered Mesh Networks Using Multi-Objective Evolutionary Algorithms Benitez, Yadira Sanchez Neural and Evolutionary Computing 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.
title	Symbiotic Connectivity: Optimizing Rural Digital Infrastructure with Solar-Powered Mesh Networks Using Multi-Objective Evolutionary Algorithms
topic	Neural and Evolutionary Computing
url	https://arxiv.org/abs/2407.11986

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