A flexible, low-power platform for UAV-based data collection from remote sensors
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Published version
Author(s)
Polonelli, Tommaso
Qin, Yuan
Yeatman, Eric
Benini, Luca
Boyle, David
Type
Journal Article
Abstract
This article presents the design and characterisation of a new low-power hardware platform to integrate unmanned aerial vehicle and wireless sensor technologies. In combination, these technologies can overcome data collection and maintenance problems of in situ monitoring in remote and extreme environments. Precision localisation in support of maximum efficiency mid-range inductive power transfer when recharging devices and increased throughput between drone and device are needed for data intensive monitoring applications, and to balance proximity time for devices powered by supercapacitors that recharge in seconds. The platform described in this article incorporates ultra-wideband technology to achieve high-performance ranging and high data throughput. It enables the development of a new localisation system that is experimentally shown to improve accuracy by around two orders of magnitude to 10 cm with respect to GNSS and achieves almost 6 Mbps throughput in both lab and field conditions. These results are supported by extensive modelling and analysis. The platform is designed for application flexibility, and therefore includes a wide range of sensors and expansion possibilities, with source code for two applications made immediately available as part of a open source project to support research and development in this new area.
Date Issued
2020-09-21
Date Acceptance
2020-08-20
Citation
IEEE Access, 2020, 8, pp.164775-164785
ISSN
2169-3536
Publisher
Institute of Electrical and Electronics Engineers
Start Page
164775
End Page
164785
Journal / Book Title
IEEE Access
Volume
8
Copyright Statement
© 2020 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
License URL
Sponsor
Natural Environment Research Council (NERC)
Grant Number
NE/T011467/1
Subjects
08 Information and Computing Sciences
09 Engineering
10 Technology
Publication Status
Published
Date Publish Online
2020-09-02