In recent years, the emergence of a flying ad hoc network (FANET) with multiple unmanned aerial vehicles (UAVs) can make it possible to effectively accomplish not only far-off missions but also assorted complex missions. In particular, with a limited number of UAVs, it is important to determine both mission assignment of UAVs to enhance mission performance and locations of UAVs to maintain good communication with the ground control station (GCS). In this paper, we study a problem of joint mission assignment and location management for UAVs, with jointly considering communication and mission performance. To solve the problem, employing particle swarm optimization (PSO) algorithm in part, we develop an heuristic algorithm that assigns multiple UAVs to multiple missions and finds locations of all UAVs together to maximize the weighted sum of the communication and mission performance. The simulation results demonstrate that our proposed algorithm provides a good solution.
|Title of host publication||9th International Conference on Information and Communication Technology Convergence|
|Subtitle of host publication||ICT Convergence Powered by Smart Intelligence, ICTC 2018|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||6|
|Publication status||Published - 2018 Nov 16|
|Event||9th International Conference on Information and Communication Technology Convergence, ICTC 2018 - Jeju Island, Korea, Republic of|
Duration: 2018 Oct 17 → 2018 Oct 19
|Name||9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018|
|Other||9th International Conference on Information and Communication Technology Convergence, ICTC 2018|
|Country/Territory||Korea, Republic of|
|Period||18/10/17 → 18/10/19|
Bibliographical noteFunding Information:
ACKNOWLEDGMENT This research was supported by Unmanned Vehicles Advanced Core Technology Research and Development Program through the National Research Foundation of Korea (NRF), Unmanned Vehicle Advanced Research Center (UVARC) funded by the Ministry of Science and ICT, the Republic of Korea (NRF-2018M1B3A1A02937507).
© 2018 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Computer Science Applications
- Information Systems
- Information Systems and Management
- Artificial Intelligence