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Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
Published on: November 26, 2019
Using Aerial and Vehicular NFV Infrastructures to Agilely Create Vertical Services
Borja Nogales1, Miguel Silva2, Ivan Vidal1
1Telematic Engineering Department, Universidad Carlos III de Madrid, Avda. Universidad, 30, 28911 Madrid, Spain.
This study introduces a network function virtualization (NFV) framework integrating flying ad hoc networks (FANETs) and vehicular ad hoc networks (VANETs) for flexible service deployment. A distributed publish-subscribe model significantly reduces network service deployment times.
Area of Science:
- Computer Science
- Electrical Engineering
- Telecommunications
Background:
- 5G communication enables complex networking scenarios by integrating diverse vertical ecosystems.
- Network Function Virtualization (NFV) allows dynamic resource allocation.
- Integrating heterogeneous mobile networks (FANETs, VANETs) into a single NFV framework presents challenges.
Purpose of the Study:
- To propose an NFV-based framework for flexible and cost-effective deployment of vertical services.
- To integrate small unmanned aerial vehicles (SUAVs) forming FANETs with vehicles forming VANETs.
- To demonstrate the framework's potential using a public safety use case.
Main Methods:
- Developed an NFV-based framework integrating FANETs and VANETs.
- Implemented a distributed VNF configuration function utilizing a publish-subscribe model.
- Analyzed network service deployment delays within the proposed framework.
Main Results:
- The proposed framework supports flexible integration of heterogeneous mobile environments.
- A public safety use case illustrates the framework's applicability.
- Significant reduction in network service deployment times was achieved.
Conclusions:
- The NFV-based framework effectively integrates FANETs and VANETs for diverse vertical services.
- Distributed VNF configuration using a publish-subscribe model is key to reducing deployment delays.
- This approach enhances the efficiency and flexibility of mobile network service deployment.
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