[CFP] MDPI Drones - Special Issue on ‘Mobile Fog and Edge Computing in Drone Swarms’ - Deadline: 31 December 2020
Angelo Trotta
(Apologies if you received duplicate copies of this CFP)
MDPI Drones - Special Issue
Mobile Fog and Edge Computing in Drone Swarms
Submission Deadline: 31 December 2020
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, Department of Computer Science and Engineering, University of Bologna, Italy
Dr. Gokhan Secinti, Computer Engineering Department - İstanbul Technical University (ITU), Turkey
Prof. Marco Di Felice, Department of Computer Science and Engineering, University of Bologna, Italy
Prof. Zhangyu Guan, Department of Electrical Engineering, University at Buffalo, NY, USA
Guest Editors
Drones (ISSN 2504-446X) is an international peer-reviewed open access, peer reviewed journal. The journal focuses on design and applications of drones, including unmanned aerial vehicle (UAV), Unmanned Aircraft Systems (UAS), and Remotely Piloted Aircraft Systems (RPAS), etc. Likewise, contributions based on unmanned water/underwater drones and unmanned ground vehicles are also welcomed.
- Open Access free for readers, with article processing charges (APC) paid by authors or their institutions.
- High visibility: to be covered in Scopus (Elsevier).
- Rapid Publication: manuscripts are peer-reviewed and a first decision provided to authors approximately 17.9 days after submission; acceptance to publication is undertaken in 3.5 days (median values for papers published in this journal in the second half of 2019).
- Recognition of Reviewers:
reviewers who provide timely, thorough peer-review reports receive
vouchers entitling them to a discount on the APC of their next
publication in any MDPI journal, in appreciation of the work done.
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 at https://www.mdpi.com/journal/drones/instructions. Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service (https://www.mdpi.com/authors/english) prior to publication or during author revisions.