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Special Issue "New Approaches for Services and Information Delivery over Novel Vehicular Networks"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensor Networks".

Deadline for manuscript submissions: 15 July 2020.

Special Issue Editors

Prof. Dr. Arturo Azcorra
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Guest Editor
Universidad Carlos III de Madrid, Avda de la Universidad, 30, E-28911 Leganes, Madrid, Spain
Interests: virtualized networks; 5G systems; Connected Industry 4.0
Prof. Dr. Francisco Valera
Website
Guest Editor
Universidad Carlos III de Madrid, Avda de la Universidad, 30, E-28911 Leganes, Madrid, Spain
Interests: access networks; Internet architecture; interdomain routing; Internet content delivery; NFV; SDN; UAV; drones
Prof. Dr. Iván Vidal
Website
Guest Editor
Universidad Carlos III de Madrid, Avda de la Universidad, 30, E-28911 Leganes, Madrid, Spain
Interests: NFV; UAV; drones; multimedia networking; network security
Dr. Miguel Luís
Website
Guest Editor
Instituto de Telecomunicações, Campus de Santiago, P-3810-193 Aveiro, Portugal
Interests: vehicular networks; opportunistic radio networks; routing protocols; medium access control; network performance

Special Issue Information

Dear Colleagues,

As a consequence of the improvement in the performance of onboard devices, the improvement in batteries, or the notorious increase in service demands, autonomous vehicles (such as unmanned aerial or ground vehicles, UAV, or UGV) have turned out to be flexible multi-mission multi-sensorized network platforms with autonomous inter-connection capabilities. They can be linked using multi-hop networks naturally evolving the traditional concept of MANETs (mobile ad hoc networks) into FANETs (flying mobile ad hoc networks) or VANETs (vehicular mobile ad hoc networks), with new requirements and challenges.

On top of these interconnection facilities, new enabling technologies, such as NFV or SDN, are evolving towards flexible service provisioning scenarios, where virtualization and softwarization paradigms have been radically adopted, and new promising use-cases are emerging day in and day out, facilitating service and information delivery in many different areas over heterogeneous networking environments.

Reviews, original research articles, and practical experiences will be published. Reviews should provide an up-to-date, well-balanced overview of the current state-of-the-art, and include the main results from different research groups.

We look forward to, and welcome, your participation in this Special Issue.

Prof. Dr. Arturo Azcorra
Prof. Dr. Francisco Valera
Prof. Dr. Iván Vidal
Dr. Miguel Luís
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Unmanned aerial vehicles (UAV)
  • Drones
  • Mobile/vehicular/flying ad hoc networks (MANET/VANET/FANET)
  • Network functions virtualization (NFV)
  • Software defined networking (SDN)
  • Internet of things (IoT)
  • Data-centric approaches, e.g., the data distribution service (DDS)
  • Application/transport/network layer protocols in MANET, VANET, and FANET environments
  • Enablers for lightweight virtual network functions

Published Papers (1 paper)

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Research

Open AccessArticle
Cluster-Based Control Plane Messages Management in Software-Defined Flying Ad-Hoc Network
Sensors 2020, 20(1), 67; https://doi.org/10.3390/s20010067 - 21 Dec 2019
Abstract
Collaboration between multiple Unmanned Aerial Vehicles (UAVs) to establish a Flying Ad-hoc Network (FANET) is a growing trend since future applications claim for more autonomous and rapidly deployable systems. In this context, Software-Defined Networking FANET (SDN-FANET ) separates the control and data plane [...] Read more.
Collaboration between multiple Unmanned Aerial Vehicles (UAVs) to establish a Flying Ad-hoc Network (FANET) is a growing trend since future applications claim for more autonomous and rapidly deployable systems. In this context, Software-Defined Networking FANET (SDN-FANET ) separates the control and data plane and provides network programmability, which considers a centralized controller to perform all FANET control functions based on global UAV context information, such as UAV positions, movement trajectories, residual energy, and others. However, control message dissemination in an SDN-FANET with low overhead and high performance is not a trivial task due to FANET particular characteristics, i.e., high mobility, failures in UAV to UAV communication, and short communication range. With this in mind, it is essential to predict UAV information for control message dissemination as well as consider hierarchical network architecture, reducing bandwidth consumption and signaling overhead. In this article, we present a Cluster-bAsed control Plane messages management in sOftware-defined flying ad-hoc NEtwork, called CAPONE. Based on UAV contextual information, the controller can predict UAV information without control message transmission. In addition, CAPONE divides the FANET into groups by computing the number of clusters using the Gap statistics method, which is input for a Fuzzy C-means method to determine the group leader and members. In this way, CAPONE reduces the bandwidth consumption and signaling overhead, while guaranteeing the control message delivering in FANET scenarios. Extensive simulations are used to show the gains of the CAPONE in terms of Packet Delivery Ratio, overhead, and energy compared to existing SDN-FANET architectures. Full article
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