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Open AccessArticle

Joint Placement and Device Association of UAV Base Stations in IoT Networks

1
Department of Electrical & Computer Engineering, COMSATS University Islamabad, Wah Campus, Wah Cantt 47040, Pakistan
2
Department of Electrical-Electronics Engineering, Faculty of Engineering, Duzce University, Konuralp, Duzce 81620, Turkey
3
Computer Engineering Department, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia
*
Authors to whom correspondence should be addressed.
Sensors 2019, 19(9), 2157; https://doi.org/10.3390/s19092157
Received: 12 March 2019 / Revised: 23 April 2019 / Accepted: 27 April 2019 / Published: 9 May 2019
(This article belongs to the Special Issue UAV-Based Applications in the Internet of Things (IoT))
Drone base stations (DBSs) have received significant research interest in recent years. They provide a flexible and cost-effective solution to improve the coverage, connectivity, quality of service (QoS), and energy efficiency of large-area Internet of Things (IoT) networks. However, as DBSs are costly and power-limited devices, they require an efficient scheme for their deployment in practical networks. This work proposes a realistic mathematical model for the joint optimization problem of DBS placement and IoT users’ assignment in a massive IoT network scenario. The optimization goal is to maximize the connectivity of IoT users by utilizing the minimum number of DBS, while satisfying practical network constraints. Such an optimization problem is NP-hard, and the optimal solution has a complexity exponential to the number of DBSs and IoT users in the network. Furthermore, this work also proposes a linearization scheme and a low-complexity heuristic to solve the problem in polynomial time. The simulations are performed for a number of network scenarios, and demonstrate that the proposed heuristic is numerically accurate and performs close to the optimal solution. View Full-Text
Keywords: resource management; Unmanned aerial vehicles (UAVs); Aerial base stations; Internet of Things (IoTs) resource management; Unmanned aerial vehicles (UAVs); Aerial base stations; Internet of Things (IoTs)
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Ahmed, A.; Awais, M.; Akram, T.; Kulac, S.; Alhussein, M.; Aurangzeb, K. Joint Placement and Device Association of UAV Base Stations in IoT Networks. Sensors 2019, 19, 2157.

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