Joint Traffic and Obstacle-aware UAV Positioning Algorithm for Aerial Networks

• Type: Article in International Conference Proceedings Book
• Date: 2023

Authors

Shafafi, K (Author) Other; Coelho, A (Author) Other; Campos, R (Author) FEUP; Manuel Ricardo (Author) FEUP

Conference proceedings International

Title: 2023 IEEE 9TH WORLD FORUM ON INTERNET OF THINGS, WF-IOT

Pages: 1-6

9th IEEE World Forum on the Internet of Things (WF-IoT) - The Blue Planet - A Marriage of Sea and Space

Aveiro, PORTUGAL, OCT 12-27, 2023

Indexing

ISI Web of Knowledge - 0 Citations

Other information

Authenticus ID: P-00Z-570

DOI: 10.1109/wf-iot58464.2023.10539557

Abstract (EN): Unmanned Aerial Vehicles (UAVs) are increasingly used as cost-effective and flexible Wi-Fi Access Points (APs) and cellular Base Stations (BSs) to enhance Quality of Service (QoS). In disaster management scenarios, UAV-based networks provide on-demand wireless connectivity when traditional infrastructures fail. In obstacle-rich environments like urban areas, reliable high-capacity communications links depend on Line-of-Sight (LoS) availability, especially at higher frequencies. Positioning UAVs to consider obstacles and enable LoS communications represents a promising solution that requires further exploration and development. The main contribution of this paper is the Traffic- and Obstacle-aware UAV Positioning Algorithm (TOPA). TOPA takes into account the users' traffic demand and the need for LoS between the UAV and the ground users in the presence of obstacles. The network performance achieved when using TOPA was evaluated through ns-3 simulations. The results show up to 100% improvement in the aggregate throughput without compromising fairness.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6