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5G-Cognitive Drone System for Preventive Maintenance in Energy Infrastructures

N. Sánchez; J.M. Lalueza; T. Zahariadis; A. Voulkidis; D. Barthel; A. Frederic

Targeting the Smart Energy vertical domain, an energy infrastructure Preventive Maintenance as a Service (PMaaS) application is being implemented within 5G-PPP Phase 2 NRG-5 project. This service relies on semiautonomous swarms of drones to run such a complex, bandwidth demanding, computationally heavy and time critical application, at the same time all operational, communication and mission requirements are met. The use the definition NFV supports case presented in this paper concepts within a 5G communication network architecture and the integration of application-specific logic with a complex forwarding graph of VNFs for virtual Media Processing & Analysis (vMPA) and virtual Drones Flight Control (vDFC); VNFs able to perform respectively real time video streams processing and analysis and autonomous flight control of drones. This paper addresses the 5G advances at the edge network and develops these VNFs to support low-delay 5Genabled cognitive surveillance using drones leading to more efficient operation of energy networks, resulting in a reduction of maintenance costs and an increment of the QoE offered by the utilities to the citizens.

This work is part of the NRG-5 project which has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 762013.
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