Implementation of Cluster-Based UAV Swarm Networks for Emergency Communications

Unmanned aerial vehicles (UAVs) are greatly valued in 5 G and 6G networks for their communication features, cost, and flexible deployment choices. UAVs are essential to improve network capacity during natural disasters like earthquakes and natural calamities and have great benefits in demanding situations such as alpine, rural, or isolated places. UAV-based emergency base station platforms offer a necessary alternative to preserve cellular connections during search and rescue operations in disaster situations, when conventional base stations are sometimes destroyed. Flying ad hoc network (FANET) based emergency communication system has recently been proposed. In this paper, cluster-based FANET is implemented, where all the UAVs are organized based on clusters, and the cluster head (CH) is connected to the BS or emergency communication vehicle (ECV). The hardware and software implementation processes are described. A data link algorithm is described that takes advantage of Dijkstra’s shortest path, where signal strength information is used to construct the weighted graph and optimise the path for maximum signal strength. We provide the network architecture diagram of centralised and distributed systems together with UAV placement and mobility. The experimental study is provided, which illustrates how well the UAVs, mobile connectivity, and temporary base station cooperate.

Authors

Institutions

Publication Details

Published
2025-06-27
DOI
https://doi.org/10.1109/isas66241.2025.11101797
Citations
2
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
9.99
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Implementation of Cluster-Based UAV Swarm Networks for Emergency Communications

Seyama Sultana, Muhammet Ali Karabulut, A. F. M. Shahen Shah, Mohammed Anis Oukebdane et al.
2 citations
UAV Applications and Optimization
9.99
article

Implementation of Cluster-Based UAV Swarm Networks for Emergency Communications

Seyama Sultana, Muhammet Ali Karabulut, A. F. M. Shahen Shah, Mohammed Anis Oukebdane, Mehnaz Rahman, Salah Uddin, Ishraque Sarwar
article en
2 citations

Abstract

Unmanned aerial vehicles (UAVs) are greatly valued in 5 G and 6G networks for their communication features, cost, and flexible deployment choices. UAVs are essential to improve network capacity during natural disasters like earthquakes and natural calamities and have great benefits in demanding situations such as alpine, rural, or isolated places. UAV-based emergency base station platforms offer a necessary alternative to preserve cellular connections during search and rescue operations in disaster situations, when conventional base stations are sometimes destroyed. Flying ad hoc network (FANET) based emergency communication system has recently been proposed. In this paper, cluster-based FANET is implemented, where all the UAVs are organized based on clusters, and the cluster head (CH) is connected to the BS or emergency communication vehicle (ECV). The hardware and software implementation processes are described. A data link algorithm is described that takes advantage of Dijkstra’s shortest path, where signal strength information is used to construct the weighted graph and optimise the path for maximum signal strength. We provide the network architecture diagram of centralised and distributed systems together with UAV placement and mobility. The experimental study is provided, which illustrates how well the UAVs, mobile connectivity, and temporary base station cooperate.

Yıldız Technical University (TR), Turkish Air Force Academy (TR)
Openalex Percentile: Top 2%
UAV Applications and Optimization
9.99
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Implementation of Cluster-Based UAV Swarm Networks for Emergency Communications — Seyama Sultana, Muhammet Ali Karabulut, et al. · (2025) | TGRS Research Map | TGRS