In this section
@article{Polonelli:2022:10.1016/j.suscom.2022.100734,
author = {Polonelli, T and Magno, M and Niculescu, V and Benini, L and Boyle, D},
doi = {10.1016/j.suscom.2022.100734},
journal = {Sustainable Computing: Informatics and Systems},
title = {An open platform for efficient drone-to-sensor wireless ranging and data harvesting},
url = {http://dx.doi.org/10.1016/j.suscom.2022.100734},
volume = {35},
year = {2022}
}
TY - JOUR
AB - Drones deployed in combination with wireless sensors can unlock a host of prospective applications inenvironments that lack infrastructure communications networks and where access may be impossible forhuman operators. Community building efforts to engage with this opportunity are hampered by a lack ofplatform support and an evolving understanding of the performance of known wireless communications systemsin dynamic outdoor environments, particularly under mobility. This paper proposes and evaluates a newcombination of ultra-wide band and wake-up radio technologies. These enable high precision landing andsupport energy efficient operation. We describe in detail the design and implementation of an open platformmaking use of the combination of these radios to improve upon ranging, bandwidth and energy efficiencyproblems that affect drone–wireless sensor systems. Our evaluation shows how established ideas including lowpower listening and receiver-initiated data transfer compare with using a wake-up radio. We show that theenergy efficiency of the localization–acquisition cycle can be improved by up to 62% with respect to a dutycycle approach. Our experimental evaluation also shows two orders of magnitude improvements in powerconsumption, from 190 W to 2 W, in non-ranging quiescent states on the sensor side.
AU - Polonelli,T
AU - Magno,M
AU - Niculescu,V
AU - Benini,L
AU - Boyle,D
DO - 10.1016/j.suscom.2022.100734
PY - 2022///
SN - 2210-5379
TI - An open platform for efficient drone-to-sensor wireless ranging and data harvesting
T2 - Sustainable Computing: Informatics and Systems
UR - http://dx.doi.org/10.1016/j.suscom.2022.100734
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000795141000005&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
UR - https://www.sciencedirect.com/science/article/pii/S2210537922000695?via%3Dihub
VL - 35
ER -
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