Special Issue "Mobile Fog and Edge Computing in Drone Swarms"

A special issue of Drones (ISSN 2504-446X).

Deadline for manuscript submissions: closed (15 March 2021).

Special Issue Editors

Dr. Angelo Trotta
E-Mail Website
Guest Editor
Department of Computer Science and Engineering – DISI, Alma Mater Studiorum - University of Bologna, mura Anteo Zamboni, 7, 40126 Bologna, Italy
Interests: multirobot wireless networks; unmanned aerial systems; IoT; autonomous battery recharge
Dr. Gokhan Secinti
E-Mail Website
Guest Editor
Computer Engineering Department - İstanbul Technical University (ITU), 34467 İstanbul, Turkey
Interests: aerial networks; software-defined networks
Dr. Marco Di Felice
E-Mail Website
Guest Editor
Department of Computer Science and Engineering – DISI, Alma Mater Studiorum - University of Bologna, mura Anteo Zamboni, 7, 40126 Bologna, Italy
Interests: self-organizing wireless networks; unmanned aerial systems; IoT; context-aware computing
Prof. Zhangyu Guan
E-Mail Website
Guest Editor
Department of Electrical Engineering, University at Buffalo, The State University of New York, NY, USA
Interests: network design automation; new spectrum technologies; wireless network security

Special Issue Information

Dear Colleagues,

In the last few years, unmanned aerial vehicles (UAVs, also known as drones), have been rapidly developed due to device miniaturization and cost reduction. These Aerial cooperative systems can provide fast, cost-effective, and safe solutions for many civil and military applications. Drone swarms, made of highly mobile self-organizing vehicles, are characterized by the coordination and mobility of nodes that can accomplish distributed sensing and actuation tasks. However, these applications may require reliable communication as well as intensive computation leading to high energy consumption. Unfortunately, UAVs are in general battery-powered and are equipped with devices that are not capable of providing a fast and reliable reply to user applications. In this respect, mobile fog and edge computing applied to drone swarm (SwarmFEC) draws an adaptive and agile approach by enabling cross-domain control and management protocols to be deployed, thus revolutionizing the way swarm computation is executed.

This Special Issue aims to push computation and data services toward the edge of the network, closer to the origin of the demand in order to mitigate network load as well as improve service quality by reducing end-to-end latency and overall backhaul bandwidth demand. Potential research directions are fostered for this Special Issue, ranging from security and privacy issues to SwarmFEC deployment, from mobility management to resource optimization, and from joint coordination of aerial vehicles to wireless communications.

Possible topics include but are not limited to:

  • Communication models and protocols for SwarmFEC;
  • Dynamic fog/edge computing deployment in drone swarms;
  • Cooperative computing and scheduling strategy in SwarmFEC;
  • Costs of applications migration and workloads in SwarmFEC;
  • SwarmFEC support for the Internet of Things (IoT);
  • Security and privacy in services deployment for SwarmFEC;
  • Resource allocation and mobility models for energy management in SwarmFEC;
  • Software-defined networking support for SwarmFEC;
  • Optimization, learning, and AI to manage application deployment in SwarmFEC;
  • Spectrum coexistence and optimization for SwarmFEC communications;
  • SwarmFEC modeling, simulation, emulation, and experimentation.

Dr. Angelo Trotta
Dr. Gokhan Secinti
Prof. Marco Di Felice
Prof. Zhangyu Guan
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. Drones is an international peer-reviewed open access quarterly 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 1400 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

  • UAV swarm
  • mobile fog and edge computing
  • energy-aware computing
  • wireless network

Published Papers (1 paper)

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Research

Article
Hybrid LoRa-IEEE 802.11s Opportunistic Mesh Networking for Flexible UAV Swarming
Drones 2021, 5(2), 26; https://doi.org/10.3390/drones5020026 - 15 Apr 2021
Cited by 2 | Viewed by 1458
Abstract
Unmanned Aerial Vehicles (UAVs) and small drones are nowadays being widely used in heterogeneous use cases: aerial photography, precise agriculture, inspections, environmental data collection, search-and-rescue operations, surveillance applications, and more. When designing UAV swarm-based applications, a key “ingredient” to make them effective is [...] Read more.
Unmanned Aerial Vehicles (UAVs) and small drones are nowadays being widely used in heterogeneous use cases: aerial photography, precise agriculture, inspections, environmental data collection, search-and-rescue operations, surveillance applications, and more. When designing UAV swarm-based applications, a key “ingredient” to make them effective is the communication system (possible involving multiple protocols) shared by flying drones and terrestrial base stations. When compared to ground communication systems for swarms of terrestrial vehicles, one of the main advantages of UAV-based communications is the presence of direct Line-of-Sight (LOS) links between flying UAVs operating at an altitude of tens of meters, often ensuring direct visibility among themselves and even with some ground Base Transceiver Stations (BTSs). Therefore, the adoption of proper networking strategies for UAV swarms allows users to exchange data at distances (significantly) longer than in ground applications. In this paper, we propose a hybrid communication architecture for UAV swarms, leveraging heterogeneous radio mesh networking based on long-range communication protocols—such as LoRa and LoRaWAN—and IEEE 802.11s protocols. We then discuss its strengths, constraints, viable implementation, and relevant reference use cases. Full article
(This article belongs to the Special Issue Mobile Fog and Edge Computing in Drone Swarms)
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