Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...
Ergebnis 1 von 235

Details

Autor(en) / Beteiligte
Titel
Relief and emergency communication network based on an autonomous decentralized UAV clustering network
Ist Teil von
  • SoutheastCon 2015, 2015, p.1-8
Ort / Verlag
IEEE
Erscheinungsjahr
2015
Quelle
IEEE Electronic Library (IEL)
Beschreibungen/Notizen
  • The recent years have witnessed an increase in the natural disasters in which the destruction of the essential communication infrastructure has significantly affected the number of casualties. In 2005, Hurricane Katrina in the United States resulted in over 1,900 deaths, 3 million land-line phones disconnections, and more than 2,000 cell sites going out of service. This incident highlighted an urgent need for a quick-deployment efficient communication network for relief purposes. In this paper, we propose a fully autonomous system to deploy Unmanned Aerial Vehicles (UAV) as the first phase disaster recovery communication network for wide-area relief. An automation algorithm has been developed to control the deployment and positioning of UAVs based on a traditional cell network structure utilizing 7-cell clusters in a hexagonal pattern using MAVLink. The distributed execution of the algorithm is based on a centralized management of UAV cells through assigning higher ranked UAVs referred to as supernodes. The algorithm autonomously elects supernodes based on weighted variables and dynamically handles any changes in total number of UAVs in the system. This system represents a novel approach for handling a large-scale autonomous deployment of a UAV communications network. The proposed autonomous communication network was verified and validated using software simulation and physical demonstration using identical quadrotor UAVs.
Sprache
Englisch
Identifikatoren
ISSN: 1091-0050
eISSN: 1558-058X
DOI: 10.1109/SECON.2015.7133027
Titel-ID: cdi_ieee_primary_7133027

Weiterführende Literatur

Empfehlungen zum selben Thema automatisch vorgeschlagen von bX