UAV reconnaissance using bio-inspired algorithms: joint PSO and Penguin Search Optimization Algorithm (PeSOA) attributes

Muhammad Rehan Usman; Arslan Usman; Muhammad Azfar Yaq; Soo Young Shin

doi:10.1109/CCNC.2019.8651831

UAV reconnaissance using bio-inspired algorithms: joint PSO and Penguin Search Optimization Algorithm (PeSOA) attributes

Muhammad Rehan Usman
, Arslan Usman
, Muhammad Azfar Yaq
, Soo Young Shin

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

Abstract

Importance of bio-inspired algorithms (BIAs) is increasing exponentially because of their capability to optimization different problems in various fields like artificial intelligence, and medicine etc. Because of the autonomous nature, BIAs are now being used in unmanned aerial vehicles (UAVs) for applications areas like internet of things (IoT), autonomous area searching and reconnaissance etc. This paper presents a UAV reconnaissance strategy jointly using the particle swarm optimization (PSO) algorithm and a few attributes of the penguin search optimization algorithm (PeSOA). The strategy mainly focuses on finding the rescue targets utilizing UAVs by optimizing their movement using combined PSO and PeSOA attributes. The results are analyzed in terms of grouping and non-grouping scenarios with and without using PeSOA attributes.

Original language	English
Title of host publication	Published in: Proceedings of the 2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC). Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. ISBN 9781538655542 Organising Body: Institute of Electrical and Electronics Engineers Organising Body: Institute of Electrical and Electronics Engineers
Pages	1-6
DOIs	https://doi.org/10.1109/CCNC.2019.8651831
Publication status	Published - 12 Jan 2019

Bibliographical note

Note: Published in: Proceedings of the 2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC). Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. ISBN 9781538655542

Organising Body: Institute of Electrical and Electronics Engineers

Organising Body: Institute of Electrical and Electronics Engineers

Keywords

Electrical and electronic engineering

Access to Document

10.1109/CCNC.2019.8651831

https://ieeexplore.ieee.org/abstract/document/8651831

UAV reconnaissance using bio-inspired algorithms: joint PSO and Penguin Search Optimization Algorithm (PeSOA) attributes
Usman, M. R., Usman, M. A., Yaq, M. A. & Shin, S. Y., 12 Jan 2019.
Research output: Contribution to conference › Paper › peer-review

Cite this

Usman, M. R., Usman, A., Yaq, M. A., & Shin, S. Y. (2019). UAV reconnaissance using bio-inspired algorithms: joint PSO and Penguin Search Optimization Algorithm (PeSOA) attributes. In Published in: Proceedings of the 2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC). Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. ISBN 9781538655542 Organising Body: Institute of Electrical and Electronics Engineers Organising Body: Institute of Electrical and Electronics Engineers (pp. 1-6) https://doi.org/10.1109/CCNC.2019.8651831

Usman, Muhammad Rehan ; Usman, Arslan ; Yaq, Muhammad Azfar et al. / UAV reconnaissance using bio-inspired algorithms : joint PSO and Penguin Search Optimization Algorithm (PeSOA) attributes. Published in: Proceedings of the 2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC). Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. ISBN 9781538655542 Organising Body: Institute of Electrical and Electronics Engineers Organising Body: Institute of Electrical and Electronics Engineers. 2019. pp. 1-6

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abstract = "Importance of bio-inspired algorithms (BIAs) is increasing exponentially because of their capability to optimization different problems in various fields like artificial intelligence, and medicine etc. Because of the autonomous nature, BIAs are now being used in unmanned aerial vehicles (UAVs) for applications areas like internet of things (IoT), autonomous area searching and reconnaissance etc. This paper presents a UAV reconnaissance strategy jointly using the particle swarm optimization (PSO) algorithm and a few attributes of the penguin search optimization algorithm (PeSOA). The strategy mainly focuses on finding the rescue targets utilizing UAVs by optimizing their movement using combined PSO and PeSOA attributes. The results are analyzed in terms of grouping and non-grouping scenarios with and without using PeSOA attributes.",

keywords = "Electrical and electronic engineering",

author = "Usman, \{Muhammad Rehan\} and Arslan Usman and Yaq, \{Muhammad Azfar\} and Shin, \{Soo Young\}",

note = "Note: Published in: Proceedings of the 2019 16th IEEE Annual Consumer Communications \& Networking Conference (CCNC). Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. ISBN 9781538655542 Organising Body: Institute of Electrical and Electronics Engineers Organising Body: Institute of Electrical and Electronics Engineers",

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Usman, MR , Usman, A, Yaq, MA & Shin, SY 2019, UAV reconnaissance using bio-inspired algorithms: joint PSO and Penguin Search Optimization Algorithm (PeSOA) attributes. in Published in: Proceedings of the 2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC). Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. ISBN 9781538655542 Organising Body: Institute of Electrical and Electronics Engineers Organising Body: Institute of Electrical and Electronics Engineers. pp. 1-6. https://doi.org/10.1109/CCNC.2019.8651831

UAV reconnaissance using bio-inspired algorithms: joint PSO and Penguin Search Optimization Algorithm (PeSOA) attributes. / Usman, Muhammad Rehan ; Usman, Arslan; Yaq, Muhammad Azfar et al.
Published in: Proceedings of the 2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC). Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. ISBN 9781538655542 Organising Body: Institute of Electrical and Electronics Engineers Organising Body: Institute of Electrical and Electronics Engineers. 2019. p. 1-6.

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

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AU - Shin, Soo Young

N1 - Note: Published in: Proceedings of the 2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC). Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. ISBN 9781538655542 Organising Body: Institute of Electrical and Electronics Engineers Organising Body: Institute of Electrical and Electronics Engineers

PY - 2019/1/12

Y1 - 2019/1/12

N2 - Importance of bio-inspired algorithms (BIAs) is increasing exponentially because of their capability to optimization different problems in various fields like artificial intelligence, and medicine etc. Because of the autonomous nature, BIAs are now being used in unmanned aerial vehicles (UAVs) for applications areas like internet of things (IoT), autonomous area searching and reconnaissance etc. This paper presents a UAV reconnaissance strategy jointly using the particle swarm optimization (PSO) algorithm and a few attributes of the penguin search optimization algorithm (PeSOA). The strategy mainly focuses on finding the rescue targets utilizing UAVs by optimizing their movement using combined PSO and PeSOA attributes. The results are analyzed in terms of grouping and non-grouping scenarios with and without using PeSOA attributes.

AB - Importance of bio-inspired algorithms (BIAs) is increasing exponentially because of their capability to optimization different problems in various fields like artificial intelligence, and medicine etc. Because of the autonomous nature, BIAs are now being used in unmanned aerial vehicles (UAVs) for applications areas like internet of things (IoT), autonomous area searching and reconnaissance etc. This paper presents a UAV reconnaissance strategy jointly using the particle swarm optimization (PSO) algorithm and a few attributes of the penguin search optimization algorithm (PeSOA). The strategy mainly focuses on finding the rescue targets utilizing UAVs by optimizing their movement using combined PSO and PeSOA attributes. The results are analyzed in terms of grouping and non-grouping scenarios with and without using PeSOA attributes.

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M3 - Conference contribution

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BT - Published in: Proceedings of the 2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC). Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. ISBN 9781538655542 Organising Body: Institute of Electrical and Electronics Engineers Organising Body: Institute of Electrical and Electronics Engineers

ER -

Usman MR , Usman A, Yaq MA, Shin SY. UAV reconnaissance using bio-inspired algorithms: joint PSO and Penguin Search Optimization Algorithm (PeSOA) attributes. In Published in: Proceedings of the 2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC). Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. ISBN 9781538655542 Organising Body: Institute of Electrical and Electronics Engineers Organising Body: Institute of Electrical and Electronics Engineers. 2019. p. 1-6 doi: 10.1109/CCNC.2019.8651831

UAV reconnaissance using bio-inspired algorithms: joint PSO and Penguin Search Optimization Algorithm (PeSOA) attributes

Abstract

Bibliographical note

Keywords

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Research output

UAV reconnaissance using bio-inspired algorithms: joint PSO and Penguin Search Optimization Algorithm (PeSOA) attributes

Cite this