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Wireless Coverage for Mobile Users in Dynamic Environments Using UAV

Antennas; Genetic algorithms; Heuristic methods; Mobile telecommunication systems; Particle swarm optimization (PSO); Point groups; Trajectories; Brute force search; Dynamic environments; Genetics algorithms; Group mobility model; Heuristic approach; Random waypoints; Search and rescue operations; T...

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Main Authors: Sawalmeh A.H., Othman N.S., Shakhatreh H., Khreishah A.
Other Authors: 57194440590
Format: Article
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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spelling my.uniten.dspace-249552023-05-29T15:29:24Z Wireless Coverage for Mobile Users in Dynamic Environments Using UAV Sawalmeh A.H. Othman N.S. Shakhatreh H. Khreishah A. 57194440590 56426823300 57193610106 24776009900 Antennas; Genetic algorithms; Heuristic methods; Mobile telecommunication systems; Particle swarm optimization (PSO); Point groups; Trajectories; Brute force search; Dynamic environments; Genetics algorithms; Group mobility model; Heuristic approach; Random waypoints; Search and rescue operations; Total transmit power; Unmanned aerial vehicles (UAV) In this paper, the dynamic deployment of a single UAV as an aerial base station in providing wireless coverage for mobile outdoor and indoor users is studied. The problem of finding the efficient UAV trajectory is formulated with the objective to minimize the required UAV transmit power that satisfies the users' minimum data rate. The proposed solution to the problem considers the users' movement in a search and rescue (SAR) operation. More specifically, the outdoor rescue team members are considered to move in a group with the reference point group mobility (RPGM) model. Whilst, the indoor rescue team members are considered to move individually and in a group with random waypoint and RPGM models, respectively. The efficient UAV trajectory is developed using two approaches, namely, heuristic and optimal approaches. The employment of the heuristic approach, namely particle swarm optimization (PSO) and genetics algorithm (GA), to find the efficient UAV trajectory reduced the execution time by a factor of ?eq 1/60 and ?eq 1/9 compared to that when using the optimal approach of brute-force search space algorithm. Furthermore, the use of PSO algorithm reduced the execution time by a factor of ?eq 1/7 compared to that when the GA algorithm is invoked.The performance of the dynamic UAV deployment also outperformed the static UAV deployment in terms of the required transmit power. More specifically, the dynamic UAV deployment required less total transmit power by a factor of about 1/2 compared to the static UAV deployment, in providing wireless coverage for rescue team to perform SAR operation within a rectangular sub-region. � 2013 IEEE. Final 2023-05-29T07:29:24Z 2023-05-29T07:29:24Z 2019 Article 10.1109/ACCESS.2019.2938272 2-s2.0-85072578067 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85072578067&doi=10.1109%2fACCESS.2019.2938272&partnerID=40&md5=d5d306c57b7dc2043b94af3f99088ddf https://irepository.uniten.edu.my/handle/123456789/24955 7 8819951 126376 126390 All Open Access, Gold Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Antennas; Genetic algorithms; Heuristic methods; Mobile telecommunication systems; Particle swarm optimization (PSO); Point groups; Trajectories; Brute force search; Dynamic environments; Genetics algorithms; Group mobility model; Heuristic approach; Random waypoints; Search and rescue operations; Total transmit power; Unmanned aerial vehicles (UAV)
author2 57194440590
author_facet 57194440590
Sawalmeh A.H.
Othman N.S.
Shakhatreh H.
Khreishah A.
format Article
author Sawalmeh A.H.
Othman N.S.
Shakhatreh H.
Khreishah A.
spellingShingle Sawalmeh A.H.
Othman N.S.
Shakhatreh H.
Khreishah A.
Wireless Coverage for Mobile Users in Dynamic Environments Using UAV
author_sort Sawalmeh A.H.
title Wireless Coverage for Mobile Users in Dynamic Environments Using UAV
title_short Wireless Coverage for Mobile Users in Dynamic Environments Using UAV
title_full Wireless Coverage for Mobile Users in Dynamic Environments Using UAV
title_fullStr Wireless Coverage for Mobile Users in Dynamic Environments Using UAV
title_full_unstemmed Wireless Coverage for Mobile Users in Dynamic Environments Using UAV
title_sort wireless coverage for mobile users in dynamic environments using uav
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806427439283306496
score 13.211869

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