Enhanced drone swarm localization using GPS and trilateration based on RF propagation model (CROSBI ID 653903)
Prilog sa skupa u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Kokić, Paula ; Tomaš, Boris
engleski
Enhanced drone swarm localization using GPS and trilateration based on RF propagation model
GPS system can provide information about location of any device that has embedded GPS receiver. However, when using swarm of drones, that information may not be enough for precise tasks. Using given GPS location error values, trilateration technique and radio frequency propagation model, an algorithm is developed, trying to minimize provided GPS location of an individual drone inside a swarm. Every drone in a swarm is observed as GPS referent node, receiving the data from RF visible nodes and forwarding data to other nodes via communication channels. Simulation results have shown that given algorithm can lower the location error of each node in a swarm, giving more precise location of a node.
IoT, drone, trilateration, localization.
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Podaci o prilogu
259-264.
2017.
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objavljeno
Podaci o matičnoj publikaciji
Central European conference on information and intelligent systems
Strahonja Vjeran ; Kirinić Valentina
Varaždin: Fakultet organizacije i informatike Sveučilišta u Zagrebu
1847-2001
Podaci o skupu
Central European Conference on Information and Intelligent Systems
predavanje
27.10.2017-29.10.2017
Varaždin, Hrvatska
Povezanost rada
Informacijske i komunikacijske znanosti, Računarstvo, Zrakoplovstvo, raketna i svemirska tehnika