On Weighted K-Means User Clustering for Flying Ad Hoc Networks in Disaster Scenarios
2025 (English)In: 2025 IEEE International Symposium on Antenna Technology and Applied Electromagnetics, ANTEM 2025, Institute of Electrical and Electronics Engineers (IEEE), 2025, p. 40-42Conference paper, Published paper (Refereed)
Abstract [en]
Flying ad hoc networks (FANETs) based on unmanned aerial vehicles (UAVs) can efficiently accomplish connectivity in post-disaster recovery scenarios. In this paper, a non-orthogonal multiple access based FANET is considered comprising of cooperative UAVs. The UAVs act as decode-and-forward relays serving a cluster of user equipments (UEs) in their coverage area. The partitioning of UEs around their nearest UAV is performed using a weighted K-means clustering approach. In particular, the induced weighting accounts for the feature that UAVs in different regions of a disaster scenario may operate with different transmit powers. The outage probability of the considered FANET in the presence of Nakagami-m fading is assessed.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2025. p. 40-42
Keywords [en]
Flying Ad Hoc Networks, Outage Probability, Unmanned Aerial Vehicles, Weighted K-means Clustering, Antennas, Communication Channels (information Theory), Computer System Recovery, Disasters, K-means Clustering, Outages, Ad-hoc Networks, Aerial Vehicle, Disaster Scenario, Flying Ad Hoc Network, K-means, K-means++ Clustering, Unmanned Aerial Vehicle, User Equipments, Weighted K-mean Clustering, Unmanned Aerial Vehicles (uav)
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:bth-28667DOI: 10.1109/ANTEM64578.2025.11114329Scopus ID: 2-s2.0-105015889571ISBN: 9798331543860 (print)OAI: oai:DiVA.org:bth-28667DiVA, id: diva2:2001344
Conference
20th IEEE International Symposium on Antenna Technology and Applied Electromagnetics, ANTEM 2025, St. John's, July 20-23, 2025
Projects
Tillförlitliga Flygande Ad-Hoc Nätverk för Civil-Militär Uppdragskritiska Applikationer (FANET-MCA)
Funder
Vinnova, 2024-031812025-09-262025-09-262025-09-30Bibliographically approved