P4 FANET In-band Telemetry (FINT) for AI-assisted wireless link failure forecasting and recovery

This paper introduces a novel framework for enhancing quality of service predictability in Flying ad hoc Networks (FANET) by leveraging P4 data-plane programmability. The proposed solution, P4 FANET In-Band Telemetry (FINT), is specifically designed to tailor the limited resources in wireless networ...

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Bibliographic Details
Published in:Computer networks (Amsterdam, Netherlands : 1999) Netherlands : 1999), 2024-08, Vol.250, p.110599, Article 110599
Main Authors: Ismail, Layal, Uomo, Domenico, Sgambelluri, Andrea, Alhamed, Faris, Paolucci, Francesco
Format: Article
Language:English
Subjects:
P4 Language
SD-FANET
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Summary:This paper introduces a novel framework for enhancing quality of service predictability in Flying ad hoc Networks (FANET) by leveraging P4 data-plane programmability. The proposed solution, P4 FANET In-Band Telemetry (FINT), is specifically designed to tailor the limited resources in wireless networks and is extended to collect not only the standard INT metadata but also novel essential Unmanned Aerial Vehicles (UAV) real-time metrics, including Received Signal Strength Indicator (RSSI), geolocation information and CPU load. These parameters are then fed into an artificial intelligence (AI) system, enabling proactive prediction of FANET link failures. By integrating P4 FINT and AI, our framework aims to improve the availability and overall performance of UAV-based networks through advanced link failure forecasting.
ISSN:1389-1286
1872-7069
DOI:10.1016/j.comnet.2024.110599