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Measurement-based wireless network planning, monitoring, and reconfiguration solution for robust radio communications in indoor factories

Xu Gong UGent, Jens Trogh UGent, Quentin Braet, Emmeric Tanghe UGent, David Plets UGent, Prashant Singh, Jeroen Hoebeke UGent, Dirk Deschrijver UGent, Tom Dhaene UGent, Luc Martens UGent, et al. (2016) IET SCIENCE MEASUREMENT & TECHNOLOGY. 10(4). p.375-382
abstract
Nowadays, the harsh industrial environment remains one of the vital challenges for an effective deployment of wireless technologies in factories to promote the industrial upgrade. In this study, a complete solution is proposed for robust radio communications in indoor factories. Herein, measurement setups are integrated with industrial mobile facilities, e.g. an automated guided vehicle and a mobile robot. Calibration is advised for accurately revealing an industrial radio environment. A hybrid sequential design strategy is used to enhance the efficiency of the measurement campaign. This further leads to a surrogate modelling based radio environment map, which facilitates a holistic view and evaluation of the radio quality of service over the target shop floor. In addition, an over-dimensioning heuristic is proposed to guarantee that every target location can be wirelessly covered by at least two access points (APs). Moreover, the smart switch mechanism dynamically powers on/off the over-dimensioned APs, so as to ensure full coverage even at the presence of physical disturbance. The investigation on two real factories and the coverage prediction tool WHIPP further demonstrates the solution's effectiveness. Eventually, a rich outlook is drawn for the roadmap towards an artificially intelligent system for robust industrial wireless communications.
Please use this url to cite or link to this publication:
author
organization
year
type
journalArticle (original)
publication status
published
subject
keyword
measurement-based wireless network planning, mobile robots, robust radio communications, indoor radio, DESIGN, calibration, CHANNEL, INDUSTRIAL ENVIRONMENTS, indoor factories, industrial mobile facilities, automated guided vehicle, mobile robot, calibration, industrial radio environment, hybrid sequential design strategy, reconfiguration solution, measurement-based wireless network monitoring
journal title
IET SCIENCE MEASUREMENT & TECHNOLOGY
volume
10
issue
4
pages
375 - 382
Web of Science type
Article
Web of Science id
000380258000016
JCR category
ENGINEERING, ELECTRICAL & ELECTRONIC
JCR impact factor
1.263 (2016)
JCR rank
165/260 (2016)
JCR quartile
3 (2016)
ISSN
1751-8822
DOI
10.1049/iet-smt.2015.0213
language
English
UGent publication?
yes
classification
A1
copyright statement
I have transferred the copyright for this publication to the publisher
id
7257632
handle
http://hdl.handle.net/1854/LU-7257632
alternative location
https://www.researchgate.net/publication/295073448_Measurement-based_wireless_network_planning_monitoring_and_reconfiguration_solution_for_robust_radio_communications_in_indoor_factories
date created
2016-06-17 09:28:00
date last changed
2016-12-19 15:42:13
@article{7257632,
  abstract     = {Nowadays, the harsh industrial environment remains one of the vital challenges for an effective deployment of wireless technologies in factories to promote the industrial upgrade. In this study, a complete solution is proposed for robust radio communications in indoor factories. Herein, measurement setups are integrated with industrial mobile facilities, e.g. an automated guided vehicle and a mobile robot. Calibration is advised for accurately revealing an industrial radio environment. A hybrid sequential design strategy is used to enhance the efficiency of the measurement campaign. This further leads to a surrogate modelling based radio environment map, which facilitates a holistic view and evaluation of the radio quality of service over the target shop floor. In addition, an over-dimensioning heuristic is proposed to guarantee that every target location can be wirelessly covered by at least two access points (APs). Moreover, the smart switch mechanism dynamically powers on/off the over-dimensioned APs, so as to ensure full coverage even at the presence of physical disturbance. The investigation on two real factories and the coverage prediction tool WHIPP further demonstrates the solution's effectiveness. Eventually, a rich outlook is drawn for the roadmap towards an artificially intelligent system for robust industrial wireless communications.},
  author       = {Gong, Xu and Trogh, Jens and Braet, Quentin and Tanghe, Emmeric and Plets, David and Singh, Prashant and Hoebeke, Jeroen and Deschrijver, Dirk and Dhaene, Tom and Martens, Luc and Joseph, Wout},
  issn         = {1751-8822},
  journal      = {IET SCIENCE MEASUREMENT \& TECHNOLOGY},
  keyword      = {measurement-based wireless network planning,mobile robots,robust radio communications,indoor radio,DESIGN,calibration,CHANNEL,INDUSTRIAL ENVIRONMENTS,indoor factories,industrial mobile facilities,automated guided vehicle,mobile robot,calibration,industrial radio environment,hybrid sequential design strategy,reconfiguration solution,measurement-based wireless network monitoring},
  language     = {eng},
  number       = {4},
  pages        = {375--382},
  title        = {Measurement-based wireless network planning, monitoring, and reconfiguration solution for robust radio communications in indoor factories},
  url          = {http://dx.doi.org/10.1049/iet-smt.2015.0213},
  volume       = {10},
  year         = {2016},
}

Chicago
Gong, Xu, Jens Trogh, Quentin Braet, Emmeric Tanghe, David Plets, Prashant Singh, Jeroen Hoebeke, et al. 2016. “Measurement-based Wireless Network Planning, Monitoring, and Reconfiguration Solution for Robust Radio Communications in Indoor Factories.” Iet Science Measurement & Technology 10 (4): 375–382.
APA
Gong, X., Trogh, J., Braet, Q., Tanghe, E., Plets, D., Singh, P., Hoebeke, J., et al. (2016). Measurement-based wireless network planning, monitoring, and reconfiguration solution for robust radio communications in indoor factories. IET SCIENCE MEASUREMENT & TECHNOLOGY, 10(4), 375–382.
Vancouver
1.
Gong X, Trogh J, Braet Q, Tanghe E, Plets D, Singh P, et al. Measurement-based wireless network planning, monitoring, and reconfiguration solution for robust radio communications in indoor factories. IET SCIENCE MEASUREMENT & TECHNOLOGY. 2016;10(4):375–82.
MLA
Gong, Xu, Jens Trogh, Quentin Braet, et al. “Measurement-based Wireless Network Planning, Monitoring, and Reconfiguration Solution for Robust Radio Communications in Indoor Factories.” IET SCIENCE MEASUREMENT & TECHNOLOGY 10.4 (2016): 375–382. Print.