Industrial IoT Technologies and Applications. 4th EAI International Conference, Industrial IoT 2020, Virtual Event, December 11, 2020, Proceedings

Research Article

Integration of Wireless Communication Capabilities to Enable Context Aware Industrial Internet of Thing Environments

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  • @INPROCEEDINGS{10.1007/978-3-030-71061-3_10,
        author={Imanol Picallo and Peio L\^{o}pez Iturri and Mikel Celaya-Echarri and Leyre Azpilicueta and Francisco Falcone},
        title={Integration of Wireless Communication Capabilities to Enable Context Aware Industrial Internet of Thing Environments},
        proceedings={Industrial IoT Technologies and Applications. 4th EAI International Conference, Industrial IoT 2020, Virtual Event, December 11, 2020, Proceedings},
        proceedings_a={INDUSTRIALIOT},
        year={2021},
        month={7},
        keywords={Industrial Internet of Things Wireless channel characterization Coverage/Capacity estimations},
        doi={10.1007/978-3-030-71061-3_10}
    }
    
  • Imanol Picallo
    Peio López Iturri
    Mikel Celaya-Echarri
    Leyre Azpilicueta
    Francisco Falcone
    Year: 2021
    Integration of Wireless Communication Capabilities to Enable Context Aware Industrial Internet of Thing Environments
    INDUSTRIALIOT
    Springer
    DOI: 10.1007/978-3-030-71061-3_10
Imanol Picallo1, Peio López Iturri1, Mikel Celaya-Echarri2, Leyre Azpilicueta2, Francisco Falcone1
  • 1: Public University of Navarre
  • 2: Tecnologico de Monterrey

Abstract

In order to provide interactive capabilities within the context of Internet of Thing (IoT) applications, wireless communication systems play a key role, owing to inherent mobility, ubiquity and ease of deployment. However, in order to comply with Quality of Service (QoS) and Quality of Experience (QoE) metrics, coverage/capacity analysis must be performed, in order to account for the impact of signal blockage as well as multiple interference sources. This analysis is especially complex in the case of indoor scenarios, such as those derived from Industrial Internet of Things (IIoT). In this work, a fully volumetric approach is employed in order to provide precise wireless channel characterization and hence, system level analysis of indoor scenarios. The proposed methodology will be tested against a real measurement scenario, providing full flexibility and scalability for adoption in a wide range of IIoT capable environments.