6533b825fe1ef96bd12833da

RESEARCH PRODUCT

Location-Aware MAC Scheduling in Industrial-Like Environment

Maurizio ReaMaurizio ReaDomenico GiustinianoHéctor CordobésDomenico Garlisi

subject

0209 industrial biotechnologyPositioning systemSettore ING-INF/03 - TelecomunicazioniComputer scienceDistributed computingContext awareness020206 networking & telecommunicationsContext (language use)Ranging02 engineering and technologyNon-line-of-sight propagation020901 industrial engineering & automationIndoor localization systemComponent (UML)MAC scheduler0202 electrical engineering electronic engineering information engineeringContext awarenessArchitectureStatistical hypothesis testing

description

We consider an environment strongly affected by the presence of metallic objects, that can be considered representative of an indoor industrial environment with metal obstacles. This scenario is a very harsh environment where radio communication has notorious difficulties, as metallic objects create a strong blockage component and surfaces are highly reflective. In this environment, we investigate how to dynamically allocate MAC resources in time to static and mobile users based on context awareness extracted from a legacy WiFi positioning system. In order to address this problem, we integrate our WiFi ranging and positioning system in the WiSHFUL architecture and then define a hypothesis test to declare if the link is in line-of-sight (LOS) or non-line-of-sight (NLOS) based on angular information derived from ranging and position information. We show that context information can help increase the network throughput in the above industrial-like scenario.

yearjournalcountryeditionlanguage
2018-12-30
https://doi.org/10.1007/978-3-030-05195-2_20