Home // PESARO 2023, The Thirteenth International Conference on Performance, Safety and Robustness in Complex Systems and Applications // View article

Energy-Efficient Resource Allocation Algorithm in the UAV-enabled Data and Energy Integrated Network

Authors:
Yang Wang
Kun Yang

Keywords: Data and Energy Integrated Network (DEIN); Unmanned Aerial Vehicle (UAV); Internet of Things (IoT); Wireless Power Transfer (WPT); Wireless Information Transfer (WIT).

Abstract:
This paper considers a new Data and Energy Integrated Network (DEIN), which conceives an Unmanned Aerial Vehicle (UAV) and numerable Internet of Things (IoT) devices on the ground. The UAV is capable of transmitting data and energy to the IoT devices. The UAV in the air wirelessly charges the IoT devices with Wireless Power Transfer (WPT) technology, and the IoT devices start Wireless Information Transfer (WIT) after the charging process. In this paper, the channel model and data and energy transmission model between the UAV and IoT devices are established. In order to minimize the total energy consumption of the UAV, this paper proposes an energy-efficient resource allocation algorithm by jointly optimizing of the trajectory of the UAV, the communication scheduling and charging fraction of the IoT devices on the ground. Successive convex approximation and block coordinate descent algorithm are introduced in this paper to address the optimization problem. Both the effectiveness and the efficiency of the proposed joint optimization algorithm have been validated with the simulation.

Pages: 1 to 7

Copyright: Copyright (c) IARIA, 2023

Publication date: April 24, 2023

Published in: conference

ISSN: 2308-3700

ISBN: 978-1-68558-039-1

Location: Venice, Italy

Dates: from April 24, 2023 to April 28, 2023