Location-Aware MAC Scheduling in Industrial-Like Environment

  • Maurizio Rea
  • Domenico Garlisi
  • Héctor Cordobés
  • Domenico Giustiniano
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 263)


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.


MAC scheduler Indoor localization system Context awareness 



This work has been funded in part by the European Commission in the framework of the H2020 project WiSHFUL (Grant agreement no. 645274), and in part by the Madrid Regional Government through the TIGRE5-CM program (S2013/ICE-2919).


  1. 1.
    H2020 WiSHFUL project.
  2. 2.
    Kaminski, N.J., Moerman, I., Giannoulis, S., Zubow, A., Seskar, I., Choi, S.: Unified radio and network control across heterogeneous hardware platforms. In: ETSI Workshop on Future Radio Technologies: Air Interfaces, pp. 1–10 (2016)Google Scholar
  3. 3.
    Lee, J., Kao, H.A., Yang, S.: Service innovation and smart analytics for industry 4.0 and big data environment. Procedia Cirp 16, 3–8 (2014)CrossRefGoogle Scholar
  4. 4.
    Rea, M., Fakhreddine, A., Giustiniano, D., Lenders, V.: Filtering noisy 802.11 time-of-flight ranging measurements from commoditized wifi radios. IEEE/ACM Trans. Netw. 25(4), 2514–2527 (2017). Scholar
  5. 5.
    Rea, M., Cordobés, H., Giustiniano, D.: Twins: Time-of-flight based wireless indoor navigation system. In: Microsoft Indoor Localization Competition – ACM/IEEE IPSN 2018 (2018)Google Scholar
  6. 6.
    Ruckebusch, P., et al.: A unified radio control architecture for prototyping adaptive wireless protocols. In: European Conference on Networks and Communications (EuCNC), pp. 58–63, June 2016.
  7. 7.
    Tinnirello, I., Bianchi, G., Gallo, P., Garlisi, D., Giuliano, F., Gringoli, F.: Wireless mac processors: programming mac protocols on commodity hardware. In: Proceedings IEEE INFOCOM, pp. 1269–1277, March 2012.

Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  • Maurizio Rea
    • 1
    • 2
  • Domenico Garlisi
    • 3
  • Héctor Cordobés
    • 1
  • Domenico Giustiniano
    • 1
  1. 1.IMDEA Networks InstituteMadridSpain
  2. 2.University Carlos III of MadridMadridSpain
  3. 3.CNIT and University of PalermoPalermoItaly

Personalised recommendations