Resilient Networking and Task Allocation for Drone Swarms: 2nd Edition
A special issue of Drones (ISSN 2504-446X).
Deadline for manuscript submissions: 25 December 2025 | Viewed by 131
Special Issue Editors
Interests: underwater acoustic communication; routing protocols; medium access control
Special Issues, Collections and Topics in MDPI journals
Interests: UAV; space-air-ground integrated; radio access network; IoT
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are pleased to announce this Special Issue of Drones on “Resilient Networking and Task Allocation for Drone Swarms: 2nd Edition”.
With the rapid development of unmanned technology, the mode of the multi-drone cluster has begun to receive widespread attention. Compared to the traditional single drone, drone swarms can collaboratively complete complex tasks with higher efficiency, especially in harsh environments. Resilient cooperation between drones is essential to enable information sharing and joint missions, and to achieve autonomous drone swarms. However, traditional networking and task allocation schemes cannot address the unique characteristics of drone swarms, such as high dynamic topology and capability constraints. Therefore, researchers have to study new and specific solutions for possible issues in resilient networking and task allocation for drone swarms, where transmission delay and reliability, the performance and complexity of the cooperation strategy, and even the swarm flight control strategy are the key factors affecting the implementation of the tasks. This requires innovative ideas to propose new solutions, especially when the tasks tend to be complex and the scale of the drone swarm is large.
This Special Issue aims to collect studies on the recent advances in collaboration strategy for multi-drones in a wide range of topics, including (but not limited to) the following:
- Cooperative communication and networking for drone swarms;
- Resilient access strategy for drone swarms;
- Resilient Edge computing for drone swarms;
- Cooperative formation for drone swarms;
- Complex task driven drone swarm cooperation;
- Resilient sensing, communication and computing integrated drone swarms;
- Resilient game and confrontation for drone swarms;
- Resilient resource allocation for drone swarms.
Prof. Dr. Jingjing Wang
Dr. Yibo Zhang
Dr. Qi Li
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 submissions that pass pre-check are 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 monthly 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 2600 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
- drone swarms
- UAV ad hoc networks
- swarm cooperative communications
- swarm secure issues
- swarm cooperative decision making
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Related Special Issue
- Resilient Networking and Task Allocation for Drone Swarms in Drones (9 articles)
