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

Research output: Contribution to journalArticlepeer-review


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 languageEnglish
Number of pages11
JournalIEEE Sensors Journal
Early online date12 Feb 2020
Publication statusE-pub ahead of print - 12 Feb 2020

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