Gravitational Search Algorithm Swarm-Based UAV Reconnaissance for Multiple Targets Detection in Unknown Environment
Target detection in an unknown environment is a crucial aspect of reconnaissance using a swarm of unmanned aerial vehicles (UAVs). An efficient target detection technique is required to minimize the number of iterations for searching and maximize the coverage area with respect to the number of itera...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10902366/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849744455541719040 |
|---|---|
| author | Ahmed Al Amin Irfan Azam Md Masuduzzaman Abdullah Qayyum Muhammad Sajid Sarwar Saud Khan Soo Young Shin |
| author_facet | Ahmed Al Amin Irfan Azam Md Masuduzzaman Abdullah Qayyum Muhammad Sajid Sarwar Saud Khan Soo Young Shin |
| author_sort | Ahmed Al Amin |
| collection | DOAJ |
| description | Target detection in an unknown environment is a crucial aspect of reconnaissance using a swarm of unmanned aerial vehicles (UAVs). An efficient target detection technique is required to minimize the number of iterations for searching and maximize the coverage area with respect to the number of iterations and detected targets. This paper proposes a gravitational search algorithm (GSA) swarm-based UAV reconnaissance scheme to detect targets in an unknown environment. Additionally, different GSA-based searching methods are analyzed to identify the most efficient one with the minimum number of iterations and maximum coverage. Extensive simulations are performed, and the results of the proposed scheme are compared with existing search schemes. The results demonstrate that the proposed GSA swarm-based detection scheme requires fewer iterations and provides greater area coverage than existing UAV reconnaissance schemes for target detection in an unknown environment. |
| format | Article |
| id | doaj-art-9715b405f167487bb714a35ecc12f334 |
| institution | DOAJ |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-9715b405f167487bb714a35ecc12f3342025-08-20T03:16:25ZengIEEEIEEE Access2169-35362025-01-0113368973690810.1109/ACCESS.2025.354573310902366Gravitational Search Algorithm Swarm-Based UAV Reconnaissance for Multiple Targets Detection in Unknown EnvironmentAhmed Al Amin0Irfan Azam1Md Masuduzzaman2Abdullah Qayyum3Muhammad Sajid Sarwar4https://orcid.org/0000-0002-4584-7702Saud Khan5https://orcid.org/0000-0003-3992-1264Soo Young Shin6https://orcid.org/0000-0002-2526-2395RFS Technologies, Meriden, CT, USADepartment of Electrical Engineering, Polytechnique Montréal, Montreal, QC, CanadaDeGroote School of Business, McMaster University, Hamilton, ON, Canada6G Lab, School of Engineering and Informatics, University of Sussex, Brighton, U.K.Department of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi-si, South KoreaSchool of Engineering, The Australian National University, Canberra, ACT, AustraliaDepartment of IT Convergence Engineering, Kumoh National Institute of Technology, Gumi-si, South KoreaTarget detection in an unknown environment is a crucial aspect of reconnaissance using a swarm of unmanned aerial vehicles (UAVs). An efficient target detection technique is required to minimize the number of iterations for searching and maximize the coverage area with respect to the number of iterations and detected targets. This paper proposes a gravitational search algorithm (GSA) swarm-based UAV reconnaissance scheme to detect targets in an unknown environment. Additionally, different GSA-based searching methods are analyzed to identify the most efficient one with the minimum number of iterations and maximum coverage. Extensive simulations are performed, and the results of the proposed scheme are compared with existing search schemes. The results demonstrate that the proposed GSA swarm-based detection scheme requires fewer iterations and provides greater area coverage than existing UAV reconnaissance schemes for target detection in an unknown environment.https://ieeexplore.ieee.org/document/10902366/UAV reconnaissancegravitational search algorithmswarmunknown environment |
| spellingShingle | Ahmed Al Amin Irfan Azam Md Masuduzzaman Abdullah Qayyum Muhammad Sajid Sarwar Saud Khan Soo Young Shin Gravitational Search Algorithm Swarm-Based UAV Reconnaissance for Multiple Targets Detection in Unknown Environment IEEE Access UAV reconnaissance gravitational search algorithm swarm unknown environment |
| title | Gravitational Search Algorithm Swarm-Based UAV Reconnaissance for Multiple Targets Detection in Unknown Environment |
| title_full | Gravitational Search Algorithm Swarm-Based UAV Reconnaissance for Multiple Targets Detection in Unknown Environment |
| title_fullStr | Gravitational Search Algorithm Swarm-Based UAV Reconnaissance for Multiple Targets Detection in Unknown Environment |
| title_full_unstemmed | Gravitational Search Algorithm Swarm-Based UAV Reconnaissance for Multiple Targets Detection in Unknown Environment |
| title_short | Gravitational Search Algorithm Swarm-Based UAV Reconnaissance for Multiple Targets Detection in Unknown Environment |
| title_sort | gravitational search algorithm swarm based uav reconnaissance for multiple targets detection in unknown environment |
| topic | UAV reconnaissance gravitational search algorithm swarm unknown environment |
| url | https://ieeexplore.ieee.org/document/10902366/ |
| work_keys_str_mv | AT ahmedalamin gravitationalsearchalgorithmswarmbaseduavreconnaissanceformultipletargetsdetectioninunknownenvironment AT irfanazam gravitationalsearchalgorithmswarmbaseduavreconnaissanceformultipletargetsdetectioninunknownenvironment AT mdmasuduzzaman gravitationalsearchalgorithmswarmbaseduavreconnaissanceformultipletargetsdetectioninunknownenvironment AT abdullahqayyum gravitationalsearchalgorithmswarmbaseduavreconnaissanceformultipletargetsdetectioninunknownenvironment AT muhammadsajidsarwar gravitationalsearchalgorithmswarmbaseduavreconnaissanceformultipletargetsdetectioninunknownenvironment AT saudkhan gravitationalsearchalgorithmswarmbaseduavreconnaissanceformultipletargetsdetectioninunknownenvironment AT sooyoungshin gravitationalsearchalgorithmswarmbaseduavreconnaissanceformultipletargetsdetectioninunknownenvironment |