Joint 3-D trajectory and resource optimization in multi-UAV-enabled IoT networks with wireless power transfer

W Luo, Y Shen, B Yang, S Wang… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
This article studies the data collection problem in an Internet-of-Things (IoT) network with
multiple unmanned aerial vehicles (UAVs) where UAVs first power multiple IoT devices by …

Downlink performance analysis of cellular-based IoT network with energy harvesting receivers

MA Kishk, HS Dhillon - 2016 IEEE Global Communications …, 2016 - ieeexplore.ieee.org
This paper studies the downlink performance of a cellular-based internet-of-things (IoT)
network where the receiving devices are solely powered by energy harvested from the …

Mobility-aware offloading and resource allocation in a MEC-enabled IoT network with energy harvesting

H Hu, Q Wang, RQ Hu, H Zhu - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Mobile-edge computing (MEC)-enabled Internet of Things (IoT) networks have been
deemed a promising paradigm to support massive energy-constrained and computation …

AoI oriented UAV trajectory planning in wireless powered IoT networks

Q Dang, Q Cui, Z Gong, X Zhang… - 2022 IEEE Wireless …, 2022 - ieeexplore.ieee.org
In the emerging Internet-of-Things (IoT) paradigm, the freshness of sensory information
plays a crucial role in online data-analyzing and application-level decision-making. As the …

Transmit power adaptation for D2D communications underlaying SWIPT-based IoT cellular networks

DW Lim, CJ Chun, JM Kang - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Device-to-device (D2D) communications and simultaneous wireless information and power
transfer (SWIPT) technologies are key to Internet of Things (IoT) to achieve massive …

Adaptive and extensible energy supply mechanism for UAVs-aided wireless-powered Internet of Things

P Wu, F Xiao, H Huang, C Sha… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
This article studies multiple unmanned aerial vehicles (multi-UAVs)-enabled wireless-
powered Internet of Things (IoT), where a group of UAVs is dispatched as mobile power …

Multi-objective optimization for UAV-enabled wireless powered IoT networks: an LSTM-based deep reinforcement learning approach

S Zhang, R Cao - IEEE Communications Letters, 2022 - ieeexplore.ieee.org
In this letter, we study a multi-objective optimization problem in an unmanned aerial vehicle
(UAV)-enabled wireless powered internet of things (IoT) system. Our aim is to maximize the …

Sum-rate maximization for UAV aided wireless power transfer in space-air-ground networks

H Jia, Y Wang, M Liu, Y Chen - IEEE Access, 2020 - ieeexplore.ieee.org
The Internet of things (IoT) has become a prominent platform which bridges diverse
technologies in order to meet the ever-increasing application requirements of various …

Online optimization of wireless powered mobile-edge computing for heterogeneous industrial internet of things

H Wu, X Lyu, H Tian - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
A spurt of progress in wireless power transfer (WPT) and mobile edge computing (MEC)
provides a promising approach for Industrial Internet of Things (IIoT) to enhance the quality …

Joint subcarrier and transmission power allocation in OFDMA-based WPT system for mobile-edge computing in iot environment

J Han, GH Lee, S Park, JK Choi - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Mobile-edge computing (MEC) is expected to play an important role in the next-generation
of Internet-of-Things (IoT) services with artificial intelligence (AI) by providing the sustainable …