Joint Mission Assignment and Location Management for UAVs in Mission-critical Flying Ad Hoc Networks

Do Yup Kim; Jang Won Lee

doi:10.1109/ICTC.2018.8539355

Joint Mission Assignment and Location Management for UAVs in Mission-critical Flying Ad Hoc Networks

Do Yup Kim, Jang Won Lee

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

9 Citations (Scopus)

Abstract

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.

Original language	English
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.
Pages	323-328
Number of pages	6
ISBN (Electronic)	9781538650400
DOIs	https://doi.org/10.1109/ICTC.2018.8539355
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

Publication series

Name	9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018

Other

Other	9th International Conference on Information and Communication Technology Convergence, ICTC 2018
Country/Territory	Korea, Republic of
City	Jeju Island
Period	18/10/17 → 18/10/19

Bibliographical note

Funding 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).

Publisher Copyright:
© 2018 IEEE.

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Computer Science Applications
Information Systems
Information Systems and Management
Artificial Intelligence

Access to Document

10.1109/ICTC.2018.8539355

Cite this

Kim, D. Y., & Lee, J. W. (2018). Joint Mission Assignment and Location Management for UAVs in Mission-critical Flying Ad Hoc Networks. In 9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018 (pp. 323-328). [8539355] (9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICTC.2018.8539355

Kim, Do Yup ; Lee, Jang Won. / Joint Mission Assignment and Location Management for UAVs in Mission-critical Flying Ad Hoc Networks. 9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 323-328 (9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018).

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abstract = "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.",

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Kim, DY & Lee, JW 2018, Joint Mission Assignment and Location Management for UAVs in Mission-critical Flying Ad Hoc Networks. in 9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018., 8539355, 9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018, Institute of Electrical and Electronics Engineers Inc., pp. 323-328, 9th International Conference on Information and Communication Technology Convergence, ICTC 2018, Jeju Island, Korea, Republic of, 18/10/17. https://doi.org/10.1109/ICTC.2018.8539355

Joint Mission Assignment and Location Management for UAVs in Mission-critical Flying Ad Hoc Networks. / Kim, Do Yup; Lee, Jang Won.

9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 323-328 8539355 (9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - 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.

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Kim DY, Lee JW. Joint Mission Assignment and Location Management for UAVs in Mission-critical Flying Ad Hoc Networks. In 9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 323-328. 8539355. (9th International Conference on Information and Communication Technology Convergence: ICT Convergence Powered by Smart Intelligence, ICTC 2018). doi: 10.1109/ICTC.2018.8539355

Joint Mission Assignment and Location Management for UAVs in Mission-critical Flying Ad Hoc Networks

Abstract

Publication series

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Bibliographical note

All Science Journal Classification (ASJC) codes

Access to Document

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