Designing a Softwarized Network Deployed on a Fleet of Drones for Rural Zone Monitoring

Corrado Rametta and Giovanni Schembra
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Corrado Rametta: Department of Electrical, Electronics and Informatics Engineering—University of Catania, Catania 95125, Italy
Giovanni Schembra: Department of Electrical, Electronics and Informatics Engineering—University of Catania, Catania 95125, Italy

Future Internet, 2017, vol. 9, issue 1, 1-21

Abstract: In the last decade, the differences in the information communication technology (ICT) infrastructures between urban and rural areas have registered a tremendous increase. ICT infrastructures could strongly help rural communities where many operations are time consuming, labor-intensive and expensive due to limited access and large distances to cover. One of the most attractive solutions, which is widely recognized as promising for filling this gap, is the use of drone fleets. In this context, this paper proposes a video monitoring platform as a service (VMPaaS) for wide rural areas not covered by Internet access. The platform is realized with a Software-Defined Network (SDN)/Network Functions Virtualization (NFV)-based flying ad-hoc network (FANET), whose target is providing a flexible and dynamic connectivity backbone, and a set of drones equipped with high-resolution cameras, each transmitting a video stream of a portion of the considered area. After describing the architecture of the proposed platform, service chains to realize the video delivery service are described, and an analytical model is defined to evaluate the computational load of the platform nodes in such a way so as to allow the network orchestrator to decide the backbone drones where running the virtual functions, and the relative resources to be allocated. Numerical analysis is carried out in a case study.

Keywords: digital divide; fleet of drones; video monitoring; software-defined networks (SDNs); network functions virtualization (NFV); quality of service (QoS); analytical models; performance evaluation (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2017
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