In industrial applications continuous wireless
connectivity of mobile clients can rarely by
guaranteed. Lack of communication negatively impacts
the performance of industrial automation systems,
e.g. Automated Guided Vehicle (AGV)
fleets. Utilizing industrial Mobile Ad-hoc NETworks
(MANETs) and adaptive positioning systems can reduce
the number of disconnections in these AGV fleets.
Therefore the performance of the mobile systems
(e.g. AGV fleet) is improved and factory efficiency
increased. In this work procedural simulation is
used to examine wireless communication in industrial
applications. This methods enables the observation
of the interaction of mobility control system,
network status and robotic system performance
independently from a specific environment or
scenario. Novel insights on the effectiveness of
ad-hoc communication in industrial applications and
the correlation of AGV fleet connectedness and AGV
fleet transport performance are
presented. Additionally a control method is
proposed, which improves the network coverage of an
industrial MANET and efficiency of AGV fleets.
%0 Conference Paper
%1 MSWiM_2021
%A Sauer, C.
%A Lyczkowski, E.
%A Schmidt, M.
%A Nüchter, A.
%A Hoßfeld, T.
%B Proceedings of the ACM Conference MSWiM: Modeling, Analysis and Simulation of Wireless and Mobile Systems
%C Alicante, Spain
%D 2021
%K author myown
%R 10.1145/3479239.3485724
%T Testing AGV Mobility Control Method for MANET Coverage
Optimization using Procedural Generation
%U https://robotik.informatik.uni-wuerzburg.de/telematics/download/mswim2021.pdf
%X In industrial applications continuous wireless
connectivity of mobile clients can rarely by
guaranteed. Lack of communication negatively impacts
the performance of industrial automation systems,
e.g. Automated Guided Vehicle (AGV)
fleets. Utilizing industrial Mobile Ad-hoc NETworks
(MANETs) and adaptive positioning systems can reduce
the number of disconnections in these AGV fleets.
Therefore the performance of the mobile systems
(e.g. AGV fleet) is improved and factory efficiency
increased. In this work procedural simulation is
used to examine wireless communication in industrial
applications. This methods enables the observation
of the interaction of mobility control system,
network status and robotic system performance
independently from a specific environment or
scenario. Novel insights on the effectiveness of
ad-hoc communication in industrial applications and
the correlation of AGV fleet connectedness and AGV
fleet transport performance are
presented. Additionally a control method is
proposed, which improves the network coverage of an
industrial MANET and efficiency of AGV fleets.
@inproceedings{MSWiM_2021,
abstract = { In industrial applications continuous wireless
connectivity of mobile clients can rarely by
guaranteed. Lack of communication negatively impacts
the performance of industrial automation systems,
e.g. Automated Guided Vehicle (AGV)
fleets. Utilizing industrial Mobile Ad-hoc NETworks
(MANETs) and adaptive positioning systems can reduce
the number of disconnections in these AGV fleets.
Therefore the performance of the mobile systems
(e.g. AGV fleet) is improved and factory efficiency
increased. In this work procedural simulation is
used to examine wireless communication in industrial
applications. This methods enables the observation
of the interaction of mobility control system,
network status and robotic system performance
independently from a specific environment or
scenario. Novel insights on the effectiveness of
ad-hoc communication in industrial applications and
the correlation of AGV fleet connectedness and AGV
fleet transport performance are
presented. Additionally a control method is
proposed, which improves the network coverage of an
industrial MANET and efficiency of AGV fleets. },
added-at = {2021-09-30T08:07:58.000+0200},
address = {Alicante, Spain},
author = {Sauer, C. and Lyczkowski, E. and Schmidt, M. and N{\"u}chter, A. and Ho{\ss}feld, T.},
biburl = {https://www.bibsonomy.org/bibtex/2eba553332d5ce864d8d4bf6c70f7a19d/nuechter76},
booktitle = {Proceedings of the ACM Conference MSWiM: Modeling, Analysis and Simulation of Wireless and Mobile Systems},
doi = {10.1145/3479239.3485724},
interhash = {f697575bd74366632d24ee55dbcc30bb},
intrahash = {eba553332d5ce864d8d4bf6c70f7a19d},
keywords = {author myown},
timestamp = {2021-09-30T08:07:58.000+0200},
title = {{Testing AGV Mobility Control Method for MANET Coverage
Optimization using Procedural Generation}},
url = {https://robotik.informatik.uni-wuerzburg.de/telematics/download/mswim2021.pdf},
year = 2021
}