The global drone market is growing rapidly as drones are being utilized for surveillance, transportation, search and rescue, military, etc. Similarly, the demand for drone swarms is also increasing both in the defense and commercial sectors. However, controlling a drone swarm is a challenging problem that requires a robust communication network, advanced management algorithms, and cutting-edge technology. In this paper, we focus on the drone swarm control strategy by transforming the drone swarm into a structured formation through abstraction in a hierarchical way so that a swarm is divided into subgroups where each subgroup has a leader to process the calculations and broadcast required information to the other sub-group members. This results in the ultimate coherency and alignment of the swarm. Our results have shown that the structured transformation of swarm architecture is much more efficient than the general structure regarding the number of required messages.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Efficient Motion Control Strategy for Drone Swarms


    Contributors:
    Tufekci, Burak (author) / Tunc, Cihan (author) / Dantu, Ram (author)


    Publication date :

    2023-06-07


    Size :

    624009 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Orchestration in heterogeneous drone swarms

    VAUGHN ROBERT LAWSON / CARBIN PAUL / WOUHAYBI RITA H | European Patent Office | 2021

    Free access

    ORCHESTRATION IN HETEROGENEOUS DRONE SWARMS

    VAUGHN ROBERT LAWSON / CARBIN PAUL / WOUHAYBI RITA H | European Patent Office | 2019

    Free access

    REMOTE INSPECTION SYSTEM USING DRONE SWARMS

    KIM JAE CHEOL / LEE CHUL / CHO SANG OOK et al. | European Patent Office | 2023

    Free access

    Seafloor Harvesting With Autonomous Drone Swarms

    VAGATA ALESSANDRO / DE PINHO GUILHERME A BRECHBUHLER / DE LIMA LUIS ANTONIO | European Patent Office | 2022

    Free access