Enhancing Connectivity in Remote Regions using Adaptive and Resilient UAV-Based Wireless Networks

The annual growth of Internet adoption still leaves around 2 billion people in remote areas without connectivity, cutting them off from vital services such as healthcare and distance education. This paper proposes an energy-efficient solution leveraging Unmanned Aerial Vehicles (UAVs) based network architectures to dynamically adapt to hardware failures or battery depletion. By incorporating the Software-Defined Networking (SDN) paradigm for real-time network management, this approach ensures swift adaptability to changing environmental conditions. Consequently, the UAV-based network can deliver Internet of Things (IoT) applications to users, significantly improving the quality of life for rural populations. Simulations conducted in realistic scenarios demonstrate a success rate of over 90% in handling user requests across various situations.

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Publication Details

Published
2024-10-21
DOI
https://doi.org/10.1109/camad62243.2024.10943037
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
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article

Enhancing Connectivity in Remote Regions using Adaptive and Resilient UAV-Based Wireless Networks

Jaime Galán–Jiménez, Juan M. Murillo, Diego Ramos–Ramos, José Gómez‐delaHiz et al.
UAV Applications and Optimization
article

Enhancing Connectivity in Remote Regions using Adaptive and Resilient UAV-Based Wireless Networks

Jaime Galán–Jiménez, Juan M. Murillo, Diego Ramos–Ramos, José Gómez‐delaHiz, Andrés García–Lopez, Santiago García–Gil
article en

Abstract

The annual growth of Internet adoption still leaves around 2 billion people in remote areas without connectivity, cutting them off from vital services such as healthcare and distance education. This paper proposes an energy-efficient solution leveraging Unmanned Aerial Vehicles (UAVs) based network architectures to dynamically adapt to hardware failures or battery depletion. By incorporating the Software-Defined Networking (SDN) paradigm for real-time network management, this approach ensures swift adaptability to changing environmental conditions. Consequently, the UAV-based network can deliver Internet of Things (IoT) applications to users, significantly improving the quality of life for rural populations. Simulations conducted in realistic scenarios demonstrate a success rate of over 90% in handling user requests across various situations.

Universidad de Extremadura (ES)
Affordable and clean energy
Openalex Percentile: Top 52%
UAV Applications and Optimization
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Enhancing Connectivity in Remote Regions using Adaptive and Resilient UAV-Based Wireless Networks — Jaime Galán–Jiménez, Juan M. Murillo, et al. · (2024) | TGRS Research Map | TGRS