AmazonNetLink: Enabling Education Access in Remote Amazonian Regions through Delay-Tolerant Networks

Fuente: arXiv
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Autores principales: Sandoval, Andrés Fernando Barón, Radenkovic, Milena
Formato: Preprint
Publicado: 2025
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author Sandoval, Andrés Fernando Barón
Radenkovic, Milena
author_facet Sandoval, Andrés Fernando Barón
Radenkovic, Milena
contents Access to educational materials in remote Amazonian communities is challenged by limited communication infrastructure. This paper proposes a novel delay-tolerant network (DTN) approach for content distribution and compares the Epidemic, MaxProp, and PRoPHETv2 routing protocols using the ONE simulator under dynamically changing educational file sizes. Results show that while Epidemic routing achieves higher delivery rates due to extensive message replication, it also leads to increased resource usage. MaxProp offers a balance between delivery efficiency and resource utilization by prioritizing message delivery based on predefined heuristics but struggles under high congestion and resource constraints. PRoPHETv2, with its probability-based forwarding, uses resources more efficiently but is less effective in dynamic, dense networks. This analysis highlights trade-offs between delivery performance and resource efficiency, guiding protocol selection for specific community needs. In our future work, we aim to explore adaptive buffer management and congestion-aware DTN protocols.
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spellingShingle AmazonNetLink: Enabling Education Access in Remote Amazonian Regions through Delay-Tolerant Networks
Sandoval, Andrés Fernando Barón
Radenkovic, Milena
Networking and Internet Architecture
Access to educational materials in remote Amazonian communities is challenged by limited communication infrastructure. This paper proposes a novel delay-tolerant network (DTN) approach for content distribution and compares the Epidemic, MaxProp, and PRoPHETv2 routing protocols using the ONE simulator under dynamically changing educational file sizes. Results show that while Epidemic routing achieves higher delivery rates due to extensive message replication, it also leads to increased resource usage. MaxProp offers a balance between delivery efficiency and resource utilization by prioritizing message delivery based on predefined heuristics but struggles under high congestion and resource constraints. PRoPHETv2, with its probability-based forwarding, uses resources more efficiently but is less effective in dynamic, dense networks. This analysis highlights trade-offs between delivery performance and resource efficiency, guiding protocol selection for specific community needs. In our future work, we aim to explore adaptive buffer management and congestion-aware DTN protocols.
title AmazonNetLink: Enabling Education Access in Remote Amazonian Regions through Delay-Tolerant Networks
topic Networking and Internet Architecture
url https://arxiv.org/abs/2503.06246