Show simple item record

dc.contributor.author
Niculescu, Vlad
dc.contributor.author
Palossi, Daniele
dc.contributor.author
Magno, Michele
dc.contributor.author
Benini, Luca
dc.date.accessioned
2022-06-22T09:38:10Z
dc.date.available
2022-02-07T07:39:00Z
dc.date.available
2022-06-22T09:38:10Z
dc.date.issued
2022-04
dc.identifier.other
10.1016/j.suscom.2022.100666
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/531022
dc.identifier.doi
10.3929/ethz-b-000531022
dc.description.abstract
A challenging application scenario in the field of industrial Unmanned Aerial Vehicles (UAVs) is the capability of a robot to find and query smart sensor nodes deployed at arbitrary locations in the mission area. This work explores the combination of different communication technologies, namely, Ultra-Wideband (UWB) and Wake-Up Radio (WUR), with a UAV that acts as a “ubiquitous local-host” of a Wireless Sensor Network (WSN). First, the UAV performs the localization of the sensor node via multiple UWB range measurements, and then it flies in its proximity to perform energy-efficient data acquisition. We propose an energy-efficient and accurate localization algorithm – based on multi-lateration – that is computationally inexpensive and robust to in-field noise. Aiming at minimizing the sensor node energy consumption, we also present a communication protocol that leverages WUR technology to minimize ON-time of the power-hungry UWB transceiver on the sensors. In-field experimental evaluation demonstrates that our approach achieves a sub-meter localization precision of the sensor nodes – i.e., down to 0.6m – using only three range measurements, and runs in 4ms on a low power microcontroller (ARM Cortex-M4F). Due to the presence of the WUR and the proposed lightweight algorithm, the entire localization-acquisition cycle requires only 31mJ on the sensor node. The approach is suitable for several emerging Industrial Internet of Things application scenarios where a mobile vehicle needs to estimate the location of static objects without any precise knowledge of their position.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Elsevier
en_US
dc.rights.uri
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject
UAVs
en_US
dc.subject
Wireless sensors
en_US
dc.subject
Ultra-wideband
en_US
dc.subject
Wake-up radio
en_US
dc.subject
Localization
en_US
dc.subject
Energy-efficiency
en_US
dc.title
Fly, Wake-up, Find: UAV-based Energy-efficient Localization for Distributed Sensor Nodes
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
dc.date.published
2022-01-15
ethz.journal.title
Sustainable Computing: Informatics and Systems
ethz.journal.volume
34
en_US
ethz.pages.start
100666
en_US
ethz.size
10 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.grant
AeroSense: a novel MEMS‐based surface pressure and acoustic IoT measurement system for wind turbines
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Amsterdam
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02636 - Institut für Integrierte Systeme / Integrated Systems Laboratory::03996 - Benini, Luca / Benini, Luca
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02636 - Institut für Integrierte Systeme / Integrated Systems Laboratory::03996 - Benini, Luca / Benini, Luca
ethz.grant.agreementno
187087
ethz.grant.fundername
SNF
ethz.grant.funderDoi
10.13039/501100001711
ethz.grant.program
Bridge - Discovery
ethz.date.deposited
2022-02-07T07:39:06Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2022-06-22T09:38:18Z
ethz.rosetta.lastUpdated
2022-06-22T09:38:18Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.atitle=Fly,%20Wake-up,%20Find:%20UAV-based%20Energy-efficient%20Localization%20for%20Distributed%20Sensor%20Nodes&rft.jtitle=Sustainable%20Computing:%20Informatics%20and%20Systems&rft.date=2022-04&rft.volume=34&rft.spage=100666&rft.au=Niculescu,%20Vlad&Palossi,%20Daniele&Magno,%20Michele&Benini,%20Luca&rft.genre=article&rft_id=info:doi/10.1016/j.suscom.2022.100666&
 Search print copy at ETH Library

Files in this item

Thumbnail

Publication type

Show simple item record