In this paper, we consider the data collection problem in an unmanned aerial vehicle (UAV)-assisted wireless sensor network (WSN). To address the energy consumption of the UAV, we formulate joint data scheduling and trajectory planning problem as an average minimization energy consumption. To solve the formulated optimization problem, we first propose a multi-time slot KM based algorithm to determine data scheduling strategy. We then model the UAV trajectory planning problem as a Markov decision process (MDP) and propose a deep Q-network based algorithm. Simulation results demonstrate the effectiveness of the proposed algorithms.


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    Titel :

    Long Term Energy Consumption Minimization-based Data Collection for UAV-Assisted WSNs


    Beteiligte:
    Li, Peixin (Autor:in) / Chai, Rong (Autor:in) / Tang, Rouzhi (Autor:in) / Pu, Renyan (Autor:in)


    Erscheinungsdatum :

    10.10.2023


    Format / Umfang :

    6298278 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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