A Programmable SDN+NFV-based Architecture for UAV Telemetry Monitoring

White, K. J.S., Denney, E., Knudson, M. D., Marnerides, A. K. and Pezaros, D. P. (2017) A Programmable SDN+NFV-based Architecture for UAV Telemetry Monitoring. In: IEEE Consumer Communications and Networking Conference 2017, Las Vegas, NV, USA, 8-11 Jan 2017, pp. 522-527. ISBN 9781509061969 (doi:10.1109/CCNC.2017.7983162)

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Abstract

The explosive growth in the worldwide use of Unmanned Aerial Vehicles (UAVs) has raised a critical concern with respect to the adequate management of their ad hoc network configuration as required by their mobility management process. As UAVs migrate among ground control stations, associated network services, routing and operational control must also rapidly migrate to ensure a seamless transition. In this paper, we present a novel, lightweight and modular architecture which supports high mobility and situational-awareness through the application of Software Defined Networking (SDN) and Network Function Virtualization (NFV) principles on top of the UAV infrastructure. By combining SDN+NFV programmability we can achieve a robust migration of UAV-related network services, such as network monitoring and anomaly detection as well as smooth UAV migration that confronts high mobility requirements. The proposed container-based monitoring and anomaly detection Network Functions (NFs) as employed within our architecture can be tuned to specific UAV types providing operators better insight during live, high-mobility deployments. We evaluate our architecture against telemetry from over 80 flights from a scientific research UAV infrastructure showing our ability to tune and detect emerging challenges.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:White, Mr Kyle and Pezaros, Dr Dimitrios
Authors: White, K. J.S., Denney, E., Knudson, M. D., Marnerides, A. K., and Pezaros, D. P.
College/School:College of Science and Engineering > School of Computing Science
ISSN:2331-9860
ISBN:9781509061969
Copyright Holders:Copyright © 2017 IEEE
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
643481A Situation-aware information infrastructureDimitrios PezarosEngineering & Physical Sciences Research Council (EPSRC)EP/L026015/1COM - COMPUTING SCIENCE
709131Network Measurement as a Service (MaaS)Dimitrios PezarosEngineering & Physical Sciences Research Council (EPSRC)EP/N033957/1COM - COMPUTING SCIENCE
608831IMC2: Instrumentation, Measurement and Control for the CloudDimitrios PezarosEngineering & Physical Sciences Research Council (EPSRC)EP/L005255/1COM - COMPUTING SCIENCE