The rapid development of Unmanned Aerial Vehicles (UAV) technologies over the recent years has been decisive for their integration in emergency response missions. While initial use by first responders focused on manual operations, the need to improve utilization necessitates higher levels of automation.Contributing towards that end-goal, this work derives swarm path planning algorithms that can effectively and efficiently be employed to search and monitor the operating field. A swarm is composed by two or more units, that coordinate to achieve the mission objectives including minimizing search time while ensuring coverage of the field. A graph theoretic approach is followed to model the underlying swarm path planning problem and mathematical programming is employed to describe a number of important variants of the cooperative strategies that arise. Thereafter, 4 algorithms are derived to solve the swarm path planning problem that are computationally efficient to implement and use in practice. A thorough performance evaluation is conducted to understand the advantages and disadvantages of each heuristic using a number of key performance metrics.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Swarm Path Planning for the Deployment of Drones in Emergency Response Missions


    Contributors:
    Anastasiou, A. (author) / Kolios, P. (author) / Panayiotou, C. (author) / Papadaki, K. (author)


    Publication date :

    2020-09-01


    Size :

    810985 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    UAV path planning for offshore swarm-based missions

    Platanitis, Konstantinos S. / Kladis, Georgios P. / Petrongonas, Evangelos et al. | IEEE | 2022


    Modeling Energy Consumption of Small Drones for Swarm Missions

    Cabuk, Umut Can / Tosun, Mustafa / Dagdeviren, Orhan et al. | IEEE | 2024


    Joint Deployment and Coverage Path Planning for Capsule Airports with Multiple Drones

    Weichang Sun / Zhihao Luo / Kuihua Huang et al. | DOAJ | 2023

    Free access


    Using drones in fire-fighting missions

    Radkov, V. / Aleksandrova, V. / Guncheva, A. | TIBKAT | 2019

    Free access