Mapping swarms of resource-limited sensor motes: Solely using distance measurements and non-unique identifiers

Erik H.A. Duisterwinkel; Gijs Dubbelman; Libertario Demi; Elena Talnishnikh; Jan W.M. Bergmans; Heinrich Wörtche

doi:10.1109/SSCI.2016.7849992

Mapping swarms of resource-limited sensor motes: Solely using distance measurements and non-unique identifiers

Erik H.A. Duisterwinkel, Gijs Dubbelman, Libertario Demi, Elena Talnishnikh, Jan W.M. Bergmans, Heinrich Wörtche

Sensors and Smart Systems

Onderzoeksoutput: Contribution to conference proceeding › Academic › peer review

Samenvatting

Dit werk is gericht op 3-D lokalisatie van sensormotes in massale zwermen, uitsluitend gebaseerd op 1-D relatieve afstandsmetingen tussen naburige motes. We richten ons op toepassingen in afgelegen en moeilijk toegankelijke omgevingen zoals de exploratie en het in kaart brengen van de binnenkant van oliereservoirs waar honderden of duizenden sensormotoren worden gebruikt. Deze toepassingen brengen de noodzaak naar voren om sterk geminiaturiseerde sensormotes van minder dan 1 centimeter te gebruiken, waardoor de meet- en verwerkingsmogelijkheden aanzienlijk worden beperkt. Deze beperkingen, in combinatie met extra beperkingen door de omgeving, belemmeren de communicatie van unieke hardware-identifiers, evenals de communicatie met externe, vaste bakens.

Originele taal-2	English
Titel	Proceedings 2016 IEEE Symposium Series on Computational Intelligence (SSCI)
Plaats van productie	Athens
Uitgeverij	Institute of Electrical and Electronics Engineers
Aantal pagina's	8
ISBN van elektronische versie	978-1-5090-4240-1
ISBN van geprinte versie	978-1-5090-4241-8
DOI's	https://doi.org/10.1109/SSCI.2016.7849992
Status	Published - sep. 2017

Keywords

robotdetectiesystemen
oliereservoirs
ultrasone beeldvorming
afstandsmeting

Research Focus Areas Hanze University of Applied Sciences

Healthy Ageing

Research Focus Areas Research Centre or Centre of Expertise

Artificial Intelligence
Cyberfysical systems

Publinova thema's

ICT & Media
Gezondheid
Techniek

Toegang tot document

10.1109/SSCI.2016.7849992

Andere bestanden en links

https://www.mendeley.com/catalogue/e43200e0-f385-3007-9f16-d1c41e9f9e7a/

Citeer dit

Duisterwinkel, E. H. A., Dubbelman, G., Demi, L., Talnishnikh, E., Bergmans, J. W. M., & Wörtche, H. (2017). Mapping swarms of resource-limited sensor motes: Solely using distance measurements and non-unique identifiers. In Proceedings 2016 IEEE Symposium Series on Computational Intelligence (SSCI) Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/SSCI.2016.7849992

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title = "Mapping swarms of resource-limited sensor motes: Solely using distance measurements and non-unique identifiers",

abstract = "This work is on 3-D localization of sensor motes in massive swarms based solely on 1-D relative distance-measurements between neighbouring motes. We target applications in remote and difficult-to-access environments such as the exploration and mapping of the interior of oil reservoirs where hundreds or thousands of motes are used. These applications bring forward the need to use highly miniaturized sensor motes of less than 1 centimeter, thereby significantly limiting measurement and processing capabilities. These constraints, in combination with additional limitations posed by the environments, impede the communication of unique hardware identifiers, as well as communication with external, fixed beacons.",

keywords = "robotdetectiesystemen, oliereservoirs, ultrasone beeldvorming, afstandsmeting, robot sensing systems, oil reservoires, ultrasonic imaging, distance measurement",

author = "Duisterwinkel, \{Erik H.A.\} and Gijs Dubbelman and Libertario Demi and Elena Talnishnikh and Bergmans, \{Jan W.M.\} and Heinrich W{\"o}rtche",

year = "2017",

month = sep,

doi = "10.1109/SSCI.2016.7849992",

language = "English",

isbn = "978-1-5090-4241-8",

booktitle = "Proceedings 2016 IEEE Symposium Series on Computational Intelligence (SSCI)",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

}

Duisterwinkel, EHA, Dubbelman, G, Demi, L, Talnishnikh, E, Bergmans, JWM & Wörtche, H 2017, Mapping swarms of resource-limited sensor motes: Solely using distance measurements and non-unique identifiers. in Proceedings 2016 IEEE Symposium Series on Computational Intelligence (SSCI). Institute of Electrical and Electronics Engineers, Athens. https://doi.org/10.1109/SSCI.2016.7849992

Mapping swarms of resource-limited sensor motes: Solely using distance measurements and non-unique identifiers. / Duisterwinkel, Erik H.A.; Dubbelman, Gijs; Demi, Libertario et al.
Proceedings 2016 IEEE Symposium Series on Computational Intelligence (SSCI). Athens: Institute of Electrical and Electronics Engineers, 2017.

Onderzoeksoutput: Contribution to conference proceeding › Academic › peer review

TY - GEN

T1 - Mapping swarms of resource-limited sensor motes: Solely using distance measurements and non-unique identifiers

AU - Duisterwinkel, Erik H.A.

AU - Dubbelman, Gijs

AU - Demi, Libertario

AU - Talnishnikh, Elena

AU - Bergmans, Jan W.M.

AU - Wörtche, Heinrich

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N2 - This work is on 3-D localization of sensor motes in massive swarms based solely on 1-D relative distance-measurements between neighbouring motes. We target applications in remote and difficult-to-access environments such as the exploration and mapping of the interior of oil reservoirs where hundreds or thousands of motes are used. These applications bring forward the need to use highly miniaturized sensor motes of less than 1 centimeter, thereby significantly limiting measurement and processing capabilities. These constraints, in combination with additional limitations posed by the environments, impede the communication of unique hardware identifiers, as well as communication with external, fixed beacons.

AB - This work is on 3-D localization of sensor motes in massive swarms based solely on 1-D relative distance-measurements between neighbouring motes. We target applications in remote and difficult-to-access environments such as the exploration and mapping of the interior of oil reservoirs where hundreds or thousands of motes are used. These applications bring forward the need to use highly miniaturized sensor motes of less than 1 centimeter, thereby significantly limiting measurement and processing capabilities. These constraints, in combination with additional limitations posed by the environments, impede the communication of unique hardware identifiers, as well as communication with external, fixed beacons.

KW - robotdetectiesystemen

KW - oliereservoirs

KW - ultrasone beeldvorming

KW - afstandsmeting

KW - robot sensing systems

KW - oil reservoires

KW - ultrasonic imaging

KW - distance measurement

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DO - 10.1109/SSCI.2016.7849992

M3 - Contribution to conference proceeding

SN - 978-1-5090-4241-8

BT - Proceedings 2016 IEEE Symposium Series on Computational Intelligence (SSCI)

PB - Institute of Electrical and Electronics Engineers

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ER -

Mapping swarms of resource-limited sensor motes: Solely using distance measurements and non-unique identifiers

Samenvatting

Keywords

Research Focus Areas Hanze University of Applied Sciences

Research Focus Areas Research Centre or Centre of Expertise

Publinova thema's

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