Robust reconstruction of sensor swarms floating through enclosed environments

Research output: Contribution to journalArticleAcademicpeer-review

75 Downloads (Pure)

Abstract

A novel type of application for the exploration of enclosed or otherwise difficult to access environments requires large quantities of miniaturized sensor nodes to perform measurements while they traverse the environment in a “go with the flow” approach. Examples of these are the exploration of underground cavities and the inspection of industrial pipelines or mixing tanks, all of which have in common that the environments are difficult to access and do not allow position determination using e.g. GPS or similar techniques. The sensor nodes need to be scaled down towards the millimetre range in order to physically fit through the narrowest of parts in the environments and should measure distances between each other in order to enable the reconstruction of their positions relative to each other in offline analysis. Reaching those levels of miniaturization and enabling reconstruction functionality requires: 1) novel reconstruction algorithms that can deal with the specific measurement limitations and imperfections of millimetre-sized nodes, and 2) improved understanding of the relation between the highly constraint hardware design space of the sensor nodes and the reconstruction algorithms. To this end, this work provides a novel and highly robust sensor swarm reconstruction algorithm and studies the effect of hardware design trade-offs on its performance. Our findings based on extensive simulations, which push the reconstruction algorithm to its breaking point, provide important guidelines for the future development of millimetre-sized sensor nodes.
Original languageEnglish
Number of pages39
JournalWireless Sensor Network
Volume10
Issue number1
DOIs
Publication statusPublished - Jan 2018

Fingerprint

Sensor nodes
Sensors
Hardware
Global positioning system
Pipelines
Inspection
Defects

Keywords

  • Sensor Swarm
  • Offine reconstruction
  • Guided-RANSAC
  • Non-unique identifiers

Cite this

@article{1ccc3fe79ae34ebebcb625a7c8dca205,
title = "Robust reconstruction of sensor swarms floating through enclosed environments",
abstract = "A novel type of application for the exploration of enclosed or otherwise difficult to access environments requires large quantities of miniaturized sensor nodes to perform measurements while they traverse the environment in a “go with the flow” approach. Examples of these are the exploration of underground cavities and the inspection of industrial pipelines or mixing tanks, all of which have in common that the environments are difficult to access and do not allow position determination using e.g. GPS or similar techniques. The sensor nodes need to be scaled down towards the millimetre range in order to physically fit through the narrowest of parts in the environments and should measure distances between each other in order to enable the reconstruction of their positions relative to each other in offline analysis. Reaching those levels of miniaturization and enabling reconstruction functionality requires: 1) novel reconstruction algorithms that can deal with the specific measurement limitations and imperfections of millimetre-sized nodes, and 2) improved understanding of the relation between the highly constraint hardware design space of the sensor nodes and the reconstruction algorithms. To this end, this work provides a novel and highly robust sensor swarm reconstruction algorithm and studies the effect of hardware design trade-offs on its performance. Our findings based on extensive simulations, which push the reconstruction algorithm to its breaking point, provide important guidelines for the future development of millimetre-sized sensor nodes.",
keywords = "Sensor Swarm, Offine reconstruction , Guided-RANSAC, Non-unique identifiers",
author = "E. Duisterwinkel and G. Dubbelman and L. Demi and Elena Talnishnikh and H.J. W{\"o}rtche and J.W.M. Bergmans",
year = "2018",
month = "1",
doi = "10.4236/wsn.2018.101001",
language = "English",
volume = "10",
journal = "Wireless Sensor Network",
issn = "1945-3078",
publisher = "Scientific Research",
number = "1",

}

Robust reconstruction of sensor swarms floating through enclosed environments. / Duisterwinkel, E.; Dubbelman, G.; Demi, L.; Talnishnikh, Elena; Wörtche, H.J.; Bergmans, J.W.M.

In: Wireless Sensor Network, Vol. 10, No. 1, 01.2018.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Robust reconstruction of sensor swarms floating through enclosed environments

AU - Duisterwinkel, E.

AU - Dubbelman, G.

AU - Demi, L.

AU - Talnishnikh, Elena

AU - Wörtche, H.J.

AU - Bergmans, J.W.M.

PY - 2018/1

Y1 - 2018/1

N2 - A novel type of application for the exploration of enclosed or otherwise difficult to access environments requires large quantities of miniaturized sensor nodes to perform measurements while they traverse the environment in a “go with the flow” approach. Examples of these are the exploration of underground cavities and the inspection of industrial pipelines or mixing tanks, all of which have in common that the environments are difficult to access and do not allow position determination using e.g. GPS or similar techniques. The sensor nodes need to be scaled down towards the millimetre range in order to physically fit through the narrowest of parts in the environments and should measure distances between each other in order to enable the reconstruction of their positions relative to each other in offline analysis. Reaching those levels of miniaturization and enabling reconstruction functionality requires: 1) novel reconstruction algorithms that can deal with the specific measurement limitations and imperfections of millimetre-sized nodes, and 2) improved understanding of the relation between the highly constraint hardware design space of the sensor nodes and the reconstruction algorithms. To this end, this work provides a novel and highly robust sensor swarm reconstruction algorithm and studies the effect of hardware design trade-offs on its performance. Our findings based on extensive simulations, which push the reconstruction algorithm to its breaking point, provide important guidelines for the future development of millimetre-sized sensor nodes.

AB - A novel type of application for the exploration of enclosed or otherwise difficult to access environments requires large quantities of miniaturized sensor nodes to perform measurements while they traverse the environment in a “go with the flow” approach. Examples of these are the exploration of underground cavities and the inspection of industrial pipelines or mixing tanks, all of which have in common that the environments are difficult to access and do not allow position determination using e.g. GPS or similar techniques. The sensor nodes need to be scaled down towards the millimetre range in order to physically fit through the narrowest of parts in the environments and should measure distances between each other in order to enable the reconstruction of their positions relative to each other in offline analysis. Reaching those levels of miniaturization and enabling reconstruction functionality requires: 1) novel reconstruction algorithms that can deal with the specific measurement limitations and imperfections of millimetre-sized nodes, and 2) improved understanding of the relation between the highly constraint hardware design space of the sensor nodes and the reconstruction algorithms. To this end, this work provides a novel and highly robust sensor swarm reconstruction algorithm and studies the effect of hardware design trade-offs on its performance. Our findings based on extensive simulations, which push the reconstruction algorithm to its breaking point, provide important guidelines for the future development of millimetre-sized sensor nodes.

KW - Sensor Swarm

KW - Offine reconstruction

KW - Guided-RANSAC

KW - Non-unique identifiers

U2 - 10.4236/wsn.2018.101001

DO - 10.4236/wsn.2018.101001

M3 - Article

VL - 10

JO - Wireless Sensor Network

JF - Wireless Sensor Network

SN - 1945-3078

IS - 1

ER -