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

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

Research output: Contribution to conference › Paper › 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
DOIs	https://doi.org/10.1109/CCNC.2019.8651831
Publication status	Published - 12 Jan 2019
Event	2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC) - Las Vegas, U.S. Duration: 11 Jan 2019 → 14 Jan 2019

Conference

Conference	2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC)
Period	11/01/19 → 14/01/19

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

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, A., Yaq, M. A. & Shin, S. Y., 12 Jan 2019, 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. p. 1-6
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Cite this

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

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 Usman, \{Muhammad Arslan\} 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; 2019 16th IEEE Annual Consumer Communications \& Networking Conference (CCNC) ; Conference date: 11-01-2019 Through 14-01-2019",

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AU - Yaq, Muhammad Azfar

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

PY - 2019/1/12

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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.

KW - Electrical and electronic engineering

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DO - 10.1109/CCNC.2019.8651831

M3 - Paper

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ER -

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

Abstract

Conference

Bibliographical note

Keywords

Access to Document

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Research output

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

Cite this