Interference graphs to monitor and control schedules in low-power WPAN

Tim van der Lee (Corresponding author), Antonio Liotta, Georgios Exarchakos

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

Uittreksel

With billions of connected devices in the near future, the major challenge is to develop networks to build an Industrial Internet of Things which is scalable, energy-efficient, reliable and affordable. To this end, low-power wireless personal area networks (LP-WPAN) provide a solution at minimum costs. However, to ensure continuous performance verification, LP-WPAN requires a centrally monitored and controlled service. This work proposes such an edge service, i.e. network monitoring and optimal reconfiguration of scheduled LP-WPANs. The approach is based on a transformation of the schedule into a new model, interference graphs. The interference graphs allow to design evaluation and rescheduling recommender methods to monitor and reconfigure the schedule. An experimental setup was developed to test and validate the approach. The results show that the model and methods provide an accurate representation of the behavior of the network, and that the new rescheduling recommender greatly improves the network's performance, compared to random rescheduling.

TaalEngels
Pagina's111-120
Aantal pagina's10
TijdschriftFuture Generation Computer Systems
Volume93
DOI's
StatusGepubliceerd - 1 apr 2019

Vingerafdruk

Personal communication systems
Network performance
Monitoring
Costs
Internet of things

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    Citeer dit

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    title = "Interference graphs to monitor and control schedules in low-power WPAN",
    abstract = "With billions of connected devices in the near future, the major challenge is to develop networks to build an Industrial Internet of Things which is scalable, energy-efficient, reliable and affordable. To this end, low-power wireless personal area networks (LP-WPAN) provide a solution at minimum costs. However, to ensure continuous performance verification, LP-WPAN requires a centrally monitored and controlled service. This work proposes such an edge service, i.e. network monitoring and optimal reconfiguration of scheduled LP-WPANs. The approach is based on a transformation of the schedule into a new model, interference graphs. The interference graphs allow to design evaluation and rescheduling recommender methods to monitor and reconfigure the schedule. An experimental setup was developed to test and validate the approach. The results show that the model and methods provide an accurate representation of the behavior of the network, and that the new rescheduling recommender greatly improves the network's performance, compared to random rescheduling.",
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    Interference graphs to monitor and control schedules in low-power WPAN. / van der Lee, Tim (Corresponding author); Liotta, Antonio; Exarchakos, Georgios.

    In: Future Generation Computer Systems, Vol. 93, 01.04.2019, blz. 111-120.

    Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

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    AU - Liotta,Antonio

    AU - Exarchakos,Georgios

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    KW - Network management

    KW - Network scheduling

    KW - Wireless sensor network

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