Abstract
In recent years, Unmanned Aerial Vehicles (UAV), have been increasingly utilized by both military and civilian organizations because they are less expensive, provide greater flexibilities and remove the need for on-board pilot support. Largely due to their utility and increased capabilities, in the near future, swarms of UAVs will replace single UAV use. Efficient control of swarms opens a set of new challenges, such as automatic UAV coordination, efficient swarm monitoring and dynamic mission planning. In this paper, we investigate the problem of dynamic mission planning for a UAV swarm. A centralized-distributed hybrid control framework is proposed for mission assignment and scheduling. The Dynamic Data Driven Application System (DDDAS) principles are applied to the framework so that it can adapt to the changing nature of the environment and the missions. A prototype simulation program is implemented as a proof-ofconcept of the framework. Experimentation with the framework suggests the effectiveness of swarm control for several mission planning mechanisms.
| Original language | English (US) |
|---|---|
| Title of host publication | Procedia Computer Science |
| Publisher | Elsevier |
| Pages | 1949-1958 |
| Number of pages | 10 |
| Volume | 18 |
| DOIs | |
| State | Published - 2013 |
| Externally published | Yes |
| Event | 13th Annual International Conference on Computational Science, ICCS 2013 - Barcelona, Spain Duration: Jun 5 2013 → Jun 7 2013 |
Other
| Other | 13th Annual International Conference on Computational Science, ICCS 2013 |
|---|---|
| Country | Spain |
| City | Barcelona |
| Period | 6/5/13 → 6/7/13 |
Fingerprint
Keywords
- DDDAS
- Mission planning
- Simulation framework
- UAV swarm
ASJC Scopus subject areas
- Computer Science(all)
Cite this
An operation-time simulation framework for UAV swarm configuration and mission planning. / Wei, Yi; Brian Blake, M.; Madey, Gregory R.
Procedia Computer Science. Vol. 18 Elsevier, 2013. p. 1949-1958.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - An operation-time simulation framework for UAV swarm configuration and mission planning
AU - Wei, Yi
AU - Brian Blake, M.
AU - Madey, Gregory R.
PY - 2013
Y1 - 2013
N2 - In recent years, Unmanned Aerial Vehicles (UAV), have been increasingly utilized by both military and civilian organizations because they are less expensive, provide greater flexibilities and remove the need for on-board pilot support. Largely due to their utility and increased capabilities, in the near future, swarms of UAVs will replace single UAV use. Efficient control of swarms opens a set of new challenges, such as automatic UAV coordination, efficient swarm monitoring and dynamic mission planning. In this paper, we investigate the problem of dynamic mission planning for a UAV swarm. A centralized-distributed hybrid control framework is proposed for mission assignment and scheduling. The Dynamic Data Driven Application System (DDDAS) principles are applied to the framework so that it can adapt to the changing nature of the environment and the missions. A prototype simulation program is implemented as a proof-ofconcept of the framework. Experimentation with the framework suggests the effectiveness of swarm control for several mission planning mechanisms.
AB - In recent years, Unmanned Aerial Vehicles (UAV), have been increasingly utilized by both military and civilian organizations because they are less expensive, provide greater flexibilities and remove the need for on-board pilot support. Largely due to their utility and increased capabilities, in the near future, swarms of UAVs will replace single UAV use. Efficient control of swarms opens a set of new challenges, such as automatic UAV coordination, efficient swarm monitoring and dynamic mission planning. In this paper, we investigate the problem of dynamic mission planning for a UAV swarm. A centralized-distributed hybrid control framework is proposed for mission assignment and scheduling. The Dynamic Data Driven Application System (DDDAS) principles are applied to the framework so that it can adapt to the changing nature of the environment and the missions. A prototype simulation program is implemented as a proof-ofconcept of the framework. Experimentation with the framework suggests the effectiveness of swarm control for several mission planning mechanisms.
KW - DDDAS
KW - Mission planning
KW - Simulation framework
KW - UAV swarm
UR - http://www.scopus.com/inward/record.url?scp=84881433558&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84881433558&partnerID=8YFLogxK
U2 - 10.1016/j.procs.2013.05.364
DO - 10.1016/j.procs.2013.05.364
M3 - Conference contribution
AN - SCOPUS:84881433558
VL - 18
SP - 1949
EP - 1958
BT - Procedia Computer Science
PB - Elsevier
ER -