Výsledky vyhledávání - "Henry, Jérôme"

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Improved Soft-k-Means Clustering Algorithm for Balancing Energy Consumption in Wireless Sensor Networks

Autor: Zhu, Botao, Bedeer, Ebrahim, Nguyen, Ha H., Barton, Robert, Henry, Jerome

Publikováno v: Published in IEEE Internet of Things Journal, 2021

Energy load balancing is an essential issue in designing wireless sensor networks (WSNs). Clustering techniques are utilized as energy-efficient methods to balance the network energy and prolong its lifetime. In this paper, we propose an improved sof

Externí odkaz: http://arxiv.org/abs/2403.15700

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Joint Cluster Head Selection and Trajectory Planning in UAV-Aided IoT Networks by Reinforcement Learning with Sequential Model

Autor: Zhu, Botao, Bedeer, Ebrahim, Nguyen, Ha H., Barton, Robert, Henry, Jerome

Employing unmanned aerial vehicles (UAVs) has attracted growing interests and emerged as the state-of-the-art technology for data collection in Internet-of-Things (IoT) networks. In this paper, with the objective of minimizing the total energy consum

Externí odkaz: http://arxiv.org/abs/2112.00333

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UAV Trajectory Planning in Wireless Sensor Networks for Energy Consumption Minimization by Deep Reinforcement Learning

Autor: Zhu, Botao, Bedeer, Ebrahim, Nguyen, Ha H., Barton, Robert, Henry, Jerome

Publikováno v: IEEE TVT, 2021

Unmanned aerial vehicles (UAVs) have emerged as a promising candidate solution for data collection of large-scale wireless sensor networks (WSNs). In this paper, we investigate a UAV-aided WSN, where cluster heads (CHs) receive data from their member

Externí odkaz: http://arxiv.org/abs/2108.00354

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