Optimizing FANET Lifetime for 5G Softwarized Network Provisioning

Recently, Flying Ad Hoc Networks (FANET) have been proposed to empower 5G networks to support complex missions and provide ubiquitous connectivity to heterogeneous devices. However, it is needed to cope with the limited UAV capabilities (e.g., limited available energy to supply engines and computing...

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Bibliographic Details
Published in:IEEE eTransactions on network and service management 2022-12, Vol.19 (4), p.4629-4649
Main Authors: Cappello, G. M., Colajanni, Gabriella, Daniele, Patrizia, Galluccio, Laura, Grasso, Christian, Schembra, Giovanni, Scrimali, L.
Format: Article
Language:English
Subjects:
5G mobile communication
Ad hoc networks
Autonomous aerial vehicles
Computation
Computer architecture
Energy consumption
Flight time
Mathematical models
mathematical optimization
NFV
Numerical analysis
Optimization
Optimization models
Placement
Power consumption
Provisioning
Routing
service chains
Task analysis
UAV
Unmanned aerial vehicles
virtual function placement
Wireless networks
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Summary:Recently, Flying Ad Hoc Networks (FANET) have been proposed to empower 5G networks to support complex missions and provide ubiquitous connectivity to heterogeneous devices. However, it is needed to cope with the limited UAV capabilities (e.g., limited available energy to supply engines and computing elements, limited computing capabilities), as well as with the need to provide network and application services as foreseen in highly dynamic and time varying 5G ecosystems. This paper presents for the first time a comprehensive framework that integrates a FANET with a 5G network, with the aim of providing services that can be even chained with each other. This model is comprehensive in the sense that it takes into account physical constraints of the devices, as well as features and requirements of traffic flows. For this framework, the paper proposes a mathematical optimization model, allowing Virtual Function (VF) placement and chaining, aimed at minimizing energy consumption and service unsatisfaction probabilities of the FANET as a whole without employing heuristics for the solution of the problem. Two placement strategies named MLP and WMP are introduced and compared with the standard placement strategy named NoShP. An extensive numerical analysis shows that MLP and WMP allow us to well catch network dynamics and to reduce the number of virtual functions needed while decreasing the power consumption, so increasing UAV flight time and network lifetime.
ISSN:1932-4537
1932-4537
DOI:10.1109/TNSM.2022.3193883