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  4. An open platform for efficient drone-to-sensor wireless ranging and data harvesting
 
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An open platform for efficient drone-to-sensor wireless ranging and data harvesting
File(s)
1-s2.0-S2210537922000695-main.pdf (2.33 MB)
Published version
Author(s)
Polonelli, Tommaso
Magno, Michele
Niculescu, Vlad
Benini, Luca
Boyle, David
Type
Journal Article
Abstract
Drones deployed in combination with wireless sensors can unlock a host of prospective applications in
environments that lack infrastructure communications networks and where access may be impossible for
human operators. Community building efforts to engage with this opportunity are hampered by a lack of
platform support and an evolving understanding of the performance of known wireless communications systems
in dynamic outdoor environments, particularly under mobility. This paper proposes and evaluates a new
combination of ultra-wide band and wake-up radio technologies. These enable high precision landing and
support energy efficient operation. We describe in detail the design and implementation of an open platform
making use of the combination of these radios to improve upon ranging, bandwidth and energy efficiency
problems that affect drone–wireless sensor systems. Our evaluation shows how established ideas including low
power listening and receiver-initiated data transfer compare with using a wake-up radio. We show that the
energy efficiency of the localization–acquisition cycle can be improved by up to 62% with respect to a duty
cycle approach. Our experimental evaluation also shows two orders of magnitude improvements in power
consumption, from 190 𝜇W to 2 𝜇W, in non-ranging quiescent states on the sensor side.
Date Issued
2022-09
Date Acceptance
2022-03-29
Citation
Sustainable Computing: Informatics and Systems, 2022, 35
URI
http://hdl.handle.net/10044/1/114797
URL
https://www.sciencedirect.com/science/article/pii/S2210537922000695?via%3Dihub
DOI
https://www.dx.doi.org/10.1016/j.suscom.2022.100734
ISSN
2210-5379
Publisher
Elsevier
Journal / Book Title
Sustainable Computing: Informatics and Systems
Volume
35
Copyright Statement
© 2022 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
License URL
https://creativecommons.org/licenses/by-nc-nd/4.0/
Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000795141000005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
Subjects
Computer Science
Computer Science, Hardware & Architecture
Computer Science, Information Systems
Drones
Energy efficiency
Localization
NETWORK
POWER TRANSFER
Science & Technology
Technology
Ultra-wide band
Wake-up radio
Wireless sensors
Publication Status
Published
Article Number
100734
Date Publish Online
2022-04-10
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