Publication detail

Optimized UAV-Based Connectivity Solutions for Urban IoT Networks

KIRUBAKARAN, B. YOUNESIAN, E. SÄE, J. HOŠEK, J.

Original Title

Optimized UAV-Based Connectivity Solutions for Urban IoT Networks

Type

conference paper

Language

English

Original Abstract

The rapid growth of the Internet of Things (IoT) in cities has resulted in a dense deployment of devices such as sensors and smart meters. These devices necessitate a steady and reliable internet connection. Traditional cellular networks, such as NB-IoT and LTE Cat-M, need help to meet these demands where the performance of current infrastructure has severely degraded due to high device density. As an alternative to existing cell towers, Unmanned Aerial Vehicle Base Stations (UAV-BSs) are proposed in this paper to address this challenge. These UAV-BSs act as mobile cell towers and are strategically placed in regions with a high concentration of IoT devices to improve network coverage and capacity. Furthermore, Tethered UAVs (TUAVs) powered by robotic Cellular-on-Wheels (COW) units support a robust backhaul link between the UAV-BSs and the network core. The study used the K-means algorithm, a machine-learning technique that clusters IoT devices according to their spatial distribution, to select the optimal places for the UAV-BSs. Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) are then used to refine the positions, systematically investigating multiple UAV-BSs placements to discover the most effective arrangement. Finally, the paper utilizes a new data transmission technique, the 'Mini slots' scheduling algorithm, to improve data exchange efficiency between IoT devices and UAV-BSs.

Keywords

Internet of Things, Unmanned Aerial Ve-hicle Base Stations, Cell-on-Wheels, Tethered UnmannedAerial Vehicles, Machine Learning Algorithms, Mini-slotScheduling, Network Optimization.

Authors

KIRUBAKARAN, B.; YOUNESIAN, E.; SÄE, J.; HOŠEK, J.

Released

1. 11. 2023

Publisher

IEEE Computer Society

ISBN

979-8-3503-9328-6

Book

2023 15th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)

Pages from

181

Pages to

186

Pages count

6

URL

https://ieeexplore.ieee.org/document/10333303

BibTex

@inproceedings{BUT185644,
  author="KIRUBAKARAN, B. and YOUNESIAN, E. and SÄE, J. and HOŠEK, J.",
  title="Optimized UAV-Based Connectivity Solutions for Urban IoT Networks",
  booktitle="2023 15th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)",
  year="2023",
  pages="181--186",
  publisher="IEEE Computer Society",
  doi="10.1109/ICUMT61075.2023.10333303",
  isbn="979-8-3503-9328-6",
  url="https://ieeexplore.ieee.org/document/10333303"
}