With the development of multi unmanned aerial vehicle (UAV) technology, multi UAV is more and more widely used in intelligent agriculture, post disaster emergency communication, forest fire prevention and other fields. Coverage monitoring of target area is an important topic in the field of multi UAV research. Through the research on multi UAV communication coverage network, this paper analyzes the factors affecting multi UAV coverage and extracts the mathematical model of maximum coverage under the condition of ensuring UAV connectivity. Grey wolf optimizer (GWO) is a recently developed swarm intelligence algorithm, which has good performance in solving unknown and challenge space problems. In order to accelerate the convergence speed of the GWO and solve the multi UAV deployment problem, this paper proposed an enhanced alpha-guided GWO (EAgGWO). In EAgGWO, the evolving process of the best three individuals are guided by the update direction of best individual. The compared experiment with other three algorithms verifies the effectiveness of the proposed method.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Multi Unmanned Aerial Vehicle Area Coverage Control Based on Enhanced Alpha-Guided Grey Wolf Optimizer


    Beteiligte:
    Hu, Chuyu (Autor:in) / Ding, Liming (Autor:in) / Liu, Bohan (Autor:in) / Ding, Shiwei (Autor:in) / Huang, Jie (Autor:in) / Wang, Hengzhe (Autor:in) / Liu, Yuting (Autor:in) / Tan, Mingxuan (Autor:in)


    Erscheinungsdatum :

    2021-12-01


    Format / Umfang :

    2330162 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Grey wolf optimizer: Overview, modifications and applications

    Saman M. Almufti / Hawar B. Ahmad / Ridwan B. Marqas et al. | BASE | 2021

    Freier Zugriff

    Multi-Unmanned Aerial Vehicle Coverage Planner for Area Surveillance Missions

    Jones, Phillip / Tang, Liang / Vachtsevanos, George | AIAA | 2007


    Grey wolf optimizer-based machine learning algorithm to predict electric vehicle charging duration time

    Ullah, Irfan / Liu, Kai / Yamamoto, Toshiyuki et al. | Taylor & Francis Verlag | 2023


    Approximation of Bio-Ethanol Distillation Controller Exploiting Grey-Wolf Optimizer

    Yadav, Umesh Kumar / Waghmare, A. V. / Meena, V. P. et al. | IEEE | 2023


    DESIGN OF DIGITAL FIR FILTER USING GREY WOLF OPTIMIZER ALGORITHM

    Sidhu, Navdeep Kaur / Dhillon, J.S. | BASE | 2017

    Freier Zugriff