Efficient Deployment of Small Cell Base Stations Mounted on Unmanned Aerial Vehicles for the Internet of Things Infrastructure

MohammadJavad Sobouti; Zahra Rahimi; Amirhossein Mohajerzadeh; Seyed Amin Hosseini Seno; Reza Ghanbari; Johann Marquez-Barja; Hamed Ahmadi

doi:10.1109/JSEN.2020.2973320

Efficient Deployment of Small Cell Base Stations Mounted on Unmanned Aerial Vehicles for the Internet of Things Infrastructure

MohammadJavad Sobouti, Zahra Rahimi, Amirhossein Mohajerzadeh, Seyed Amin Hosseini Seno, Reza Ghanbari, Johann Marquez-Barja, Hamed Ahmadi

Electronic Engineering

Research output: Contribution to journal › Article › peer-review

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.

Original language	English
Number of pages	11
Journal	IEEE Sensors Journal
Early online date	12 Feb 2020
DOIs	https://doi.org/10.1109/JSEN.2020.2973320
Publication status	E-pub ahead of print - 12 Feb 2020

Bibliographical note

© 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.

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Cite this

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title = "Efficient Deployment of Small Cell Base Stations Mounted on Unmanned Aerial Vehicles for the Internet of Things Infrastructure",

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.",

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AU - Hosseini Seno, Seyed Amin

AU - Ghanbari, Reza

AU - Marquez-Barja, Johann

AU - Ahmadi, Hamed

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