Resilient Networking and Task Allocation for Drone Swarms

Dear Colleagues,

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 on “Resilient Networking and Task Allocation for Drone Swarms” 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:

1. Cooperative communication and networking for drone swarms;
2. Resilient access strategy for drone swarms;
3. Resilient Edge computing for drone swarms;
4. Cooperative formation for drone swarms;
5. Complex task driven drone swarm cooperation;
6. Resilient sensing, communication and computing integrated drone swarms;
7. Resilient game and confrontation for drone swarms;
8. Resilient resource allocation for drone swarms.

Prof. Dr. Jingjing Wang
Dr. Yibo Zhang
Guest Editors

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