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Failure Prediction in Software Defined Flying Ad-hoc Network

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Filippo CuginiAuthors Info & Claims

MobiHoc '23: Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing

Pages 355 - 357

https://doi.org/10.1145/3565287.3617611

Published: 16 October 2023 Publication History

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Abstract

This research aims to propose an approach to address the unpredictability topology state issue of FANET. The mobility of the network can lead to frequent link disruptions, causing communication unavailability. To mitigate this, our goal is to implement an AI algorithm that can identify patterns in UAV mobility, predict potential disconnections, and trigger rerouting/forwarding algorithms in advance. This paper presents an example of an SD-FANET able to provide wireless in-band telemetry to the AI-equipped edge node placed at the ground station, discusses the design of subsystems hosting the AI process, and demonstrates how a machine learning model can recognize critical network situations without relying on complex neural networks.

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Cited By

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Sandeep Solanki NNadkarni DNeel Vittal Bharath VKumar MBiradar P(2024)Enhanced Anomaly Detection Framework for 6G Software-Defined Networks: Integration of Machine Learning, Deep Neural Networks, and Dynamic TelemetryInternational Journal of Innovative Science and Research Technology (IJISRT)10.38124/ijisrt/IJISRT24MAR093(282-289)Online publication date: 13-Mar-2024
https://doi.org/10.38124/ijisrt/IJISRT24MAR093
Rzym GMasny AChołda P(2024)Dynamic Telemetry and Deep Neural Networks for Anomaly Detection in 6G Software-Defined NetworksElectronics10.3390/electronics1302038213:2(382)Online publication date: 17-Jan-2024
https://doi.org/10.3390/electronics13020382
Ismail LUomo DSgambelluri AAlhamed FPaolucci F(2024)P4 FANET In-band Telemetry (FINT) for AI-assisted wireless link failure forecasting and recoveryComputer Networks10.1016/j.comnet.2024.110599250(110599)Online publication date: Aug-2024
https://doi.org/10.1016/j.comnet.2024.110599

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Failure Prediction in Software Defined Flying Ad-hoc Network

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Published In

MobiHoc '23: Proceedings of the Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing

October 2023

621 pages

ISBN:9781450399265

DOI:10.1145/3565287

General Chairs:
Jie Wu,
Suresh Subramaniam,
Program Chairs:
Bo Ji,
Carla Fabiana Chiasserini

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s).

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 October 2023

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MobiHoc '23

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SIGMOBILE

MobiHoc '23: Twenty-fourth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing

October 23 - 26, 2023

DC, Washington, USA

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Overall Acceptance Rate 296 of 1,843 submissions, 16%

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Sandeep Solanki NNadkarni DNeel Vittal Bharath VKumar MBiradar P(2024)Enhanced Anomaly Detection Framework for 6G Software-Defined Networks: Integration of Machine Learning, Deep Neural Networks, and Dynamic TelemetryInternational Journal of Innovative Science and Research Technology (IJISRT)10.38124/ijisrt/IJISRT24MAR093(282-289)Online publication date: 13-Mar-2024
https://doi.org/10.38124/ijisrt/IJISRT24MAR093
Rzym GMasny AChołda P(2024)Dynamic Telemetry and Deep Neural Networks for Anomaly Detection in 6G Software-Defined NetworksElectronics10.3390/electronics1302038213:2(382)Online publication date: 17-Jan-2024
https://doi.org/10.3390/electronics13020382
Ismail LUomo DSgambelluri AAlhamed FPaolucci F(2024)P4 FANET In-band Telemetry (FINT) for AI-assisted wireless link failure forecasting and recoveryComputer Networks10.1016/j.comnet.2024.110599250(110599)Online publication date: Aug-2024
https://doi.org/10.1016/j.comnet.2024.110599

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