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Optimal recharge scheduler for drone-to-sensor wireless power transfer

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Title: Optimal recharge scheduler for drone-to-sensor wireless power transfer
Authors: Qiuchen, Q
Akshayaa, P
Boyle, D
Item Type: Journal Article
Abstract: Wireless recharging by autonomous power delivery vehicles is an attractive maintenance solution for Internet of Things devices. Improving the operating efficiency of power delivery vehicles is challenging due to complex dynamic environments and the need to solve difficult optimization problems to determine the best combination of routes, number of vehicles, and numerous safety thresholds prior to deployment. The optimal recharge scheduling problem considers minimizing discharged energy of drones while maximizing devices’ recharged energy. In this paper, a configurable optimal recharge scheduler is proposed that incorporates several evolutionary and clustering approaches. A modified version of the Black Hole algorithm is presented, which is shown to execute on average 35% faster than the state of the art genetic approach, while delivering comparable performance in simulation across 18 scenarios with varying area and density of sensor nodes deployed under different initialization scenarios.
Issue Date: 13-Apr-2021
Date of Acceptance: 24-Mar-2021
URI: http://hdl.handle.net/10044/1/89108
DOI: 10.1109/ACCESS.2021.3073076
ISSN: 2169-3536
Publisher: Institute of Electrical and Electronics Engineers
Start Page: 59301
End Page: 59312
Journal / Book Title: IEEE Access
Volume: 9
Copyright Statement: © 2021 The Author(s). This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/
Sponsor/Funder: Natural Environment Research Council (NERC)
Funder's Grant Number: NE/T011467/1
Keywords: 08 Information and Computing Sciences
09 Engineering
10 Technology
Publication Status: Published online
Online Publication Date: 2021-04-13
Appears in Collections:Faculty of Engineering
Electrical and Electronic Engineering
Dyson School of Design Engineering

This item is licensed under a Creative Commons License Creative Commons