A disaster is something which occurs suddenly and causes enormous destruction. Disaster may be accidental or natural, but however both of these cannot be predicted. They are known as disaster because of their sudden and volatile nature. During a disaster the destruction is huge, while rescue and relief are always lagging due to the unpredictability and the destruction caused could only be identified after the disaster has shown its full rage. In order to get the information about the damage caused and other information about the disaster, we send a fleet of Unmanned Aerial Vehicles (UAVs), which are a swarm of aerial robots (drones) that work together to achieve a particular target. Each drone in the swarm will VOTL, or vertically hover, take off, and land. Every drone has a particular number of rotors that propel it forward. Swarm intelligence is the collective behavior of decentralized, natural or artificial self- organized systems. This behavior tends to work by leaning with artificial intelligence. A flood scenario is simulated. Drone swarm will investigate the affected place in clusters and give us collective information, about the amount of damage caused by the disaster.


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    Titel :

    Swarm Intelligence in Disaster Recovery


    Beteiligte:
    Gladence, L.Mary (Autor:in) / Anu, V.Maria (Autor:in) / Anderson, A. (Autor:in) / Stanley, Immanuel (Autor:in) / Fernando J, Jithin Abhishek (Autor:in) / Revathy, S (Autor:in)


    Erscheinungsdatum :

    2021-05-06


    Format / Umfang :

    7331565 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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