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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 (UGent) , Emmeric Tanghe (UGent) , David Plets (UGent) , Prashant Singh (UGent) , Jeroen Hoebeke (UGent) , Dirk Deschrijver (UGent) , Tom Dhaene (UGent) , Luc Martens (UGent) , et al.
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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.
Keywords
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

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Please use this url to cite or link to this publication:

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.
@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},
}

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