TY - GEN
T1 - Command & Control in UAVs Fleets
T2 - 16th International Conference on Verification and Evaluation of Computer and Communication Systems, VECoS 2023
AU - Amrani, Moussa
AU - Ouared, Abdelkader
AU - Schobbens, Pierre Yves
N1 - Publisher Copyright:
© 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2024
Y1 - 2024
N2 - Save-And-Rescue missions often present risks for first responders when their mission occurs in hazardous or risky environments. Thanks to significant advances in robotics and Artificial Intelligence, deploying a swarm of Unmanned Aerial Vehicules (UAVs) (also known as drones) for these missions, has become a promising direction to facilitate first responders’ work. However, despite these recent advances, this remains a difficult challenge because of the ever changing environment and operation conditions the drones evolve in. Ideally, drones should collaborate and share information about the situation, and eventually report back to the humans involved when key decisions have to be taken, freeing up time and human resources for other challenging and crucial tasks. Command & Control (C2) is a military concept that studies how a set of entities and resources may be best deployed, organised, and driven towards the achievement of tasks at the service of a high-level objective. With the recent increase in distributiveness and variety of information, C2 found new interesting application areas (disaster relief and financial operations; mass vaccination campaigns; etc.) This paper explores the meaning of implementing C2 in UAV fleets for deployment in large ground missions such as Save-And-Rescue, as a way to systematically implement human-to-drones and drones-to-human communications. We capture in a metamodel the specification of a C2 system that describe how teams of drones work collaboratively, based on a C2 approach. We show how the C2 System may evolve when change is detected, while keeping the C2 System coherent.
AB - Save-And-Rescue missions often present risks for first responders when their mission occurs in hazardous or risky environments. Thanks to significant advances in robotics and Artificial Intelligence, deploying a swarm of Unmanned Aerial Vehicules (UAVs) (also known as drones) for these missions, has become a promising direction to facilitate first responders’ work. However, despite these recent advances, this remains a difficult challenge because of the ever changing environment and operation conditions the drones evolve in. Ideally, drones should collaborate and share information about the situation, and eventually report back to the humans involved when key decisions have to be taken, freeing up time and human resources for other challenging and crucial tasks. Command & Control (C2) is a military concept that studies how a set of entities and resources may be best deployed, organised, and driven towards the achievement of tasks at the service of a high-level objective. With the recent increase in distributiveness and variety of information, C2 found new interesting application areas (disaster relief and financial operations; mass vaccination campaigns; etc.) This paper explores the meaning of implementing C2 in UAV fleets for deployment in large ground missions such as Save-And-Rescue, as a way to systematically implement human-to-drones and drones-to-human communications. We capture in a metamodel the specification of a C2 system that describe how teams of drones work collaboratively, based on a C2 approach. We show how the C2 System may evolve when change is detected, while keeping the C2 System coherent.
UR - http://www.scopus.com/inward/record.url?scp=85180735179&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-49737-7_12
DO - 10.1007/978-3-031-49737-7_12
M3 - Conference contribution
AN - SCOPUS:85180735179
SN - 9783031497360
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 163
EP - 177
BT - Verification and Evaluation of Computer and Communication Systems
A2 - Ben Hedia, Belgacem
A2 - Maleh, Yassine
A2 - Krichen, Moez
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 18 October 2023 through 20 October 2023
ER -