Sobouti, MohammadJavad, Rahimi, Zahra, Mohajerzadeh, Amirhossein et al. (4 more authors) (2020) Efficient Deployment of Small Cell Base Stations Mounted on Unmanned Aerial Vehicles for the Internet of Things Infrastructure. IEEE Sensors Journal. ISSN 1530-437X
Abstract
In the Internet of Things networks deploying fixed infrastructure is not always the best and most economical solution. Advances in efficiency and durability of Unmanned Aerial Vehicles (UAV) made flying small cell base stations (BS) a promising approach by providing coverage and capacity in environments where using fixed infrastructure is not economically justified. A key challenge in covering an area with UAV-based small cell BSs is optimal positioning the UAVs to maximize the coverage and minimize the number of required UAVs. In this paper, we propose an optimization problem that helps to determine the number and position of the UAVs. Moreover, to have efficient results in a reasonable time, we propose complementary heuristic methods that effectively reduce the search space. The simulation results show that our proposed method performs better than genetic algorithms.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © IEEE, 2020. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details. |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Electronic Engineering (York) |
Depositing User: | Pure (York) |
Date Deposited: | 18 Mar 2020 14:30 |
Last Modified: | 22 Dec 2024 00:14 |
Published Version: | https://doi.org/10.1109/JSEN.2020.2973320 |
Status: | Published online |
Refereed: | Yes |
Identification Number: | 10.1109/JSEN.2020.2973320 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:158530 |
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