Wireless Cloud Networks for the Factory of Things: Connectivity Modeling and Layout Design

Abstract

Large-scale adoption of dense cloud-based wireless network technologies in industrial plants is mandatorily paired with the development of methods and tools for connectivity prediction and deployment validation. Layout design procedures must be able to certify the quality (or reliability) of network information flow in industrial scenarios characterized by harsh propagation environments. In addition, these must account for possibly coexisting heterogeneous radio access technologies as part of the internet of things (IoT) paradigm, easily allow postlayout validation steps, and be integrated by industry standard CAD-based planning systems. The goal of the paper is to set the fundamentals for comprehensive industry-standard methods and procedures supporting plant designer during wireless coverage prediction, virtual network deployment and post-layout verification. The proposed methods carry out the prediction of radio signal coverage considering typical industrial environments characterized by highly dense building blockage. They also provide a design framework to properly deploy the wireless infrastructure in interference-limited radio access scenarios. In addition, the model can be effectively used to certify the quality of machine type communication by considering also imperfect descriptions of the network layout. The design procedures are corroborated by experimental measurements in an oil refinery site (modelled by 3D CAD) using industry standard ISA IEC 62734 devices operating at 2.4GHz. A graph-theoretic approach to node deployment is discussed by focusing on practical case studies, and also by looking at fundamental connectivity properties for random deployments.

IoT-Based Techniques for Online M2M-Interactive Itemized Data Registration and Offline Information Traceability in a Digital Manufacturing System

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“…In Figure 7 we analyze the successful connection probability evaluated as in (2), for varying SIR, assuming full overlapping ≥ 0.5 (channels [11][12][13][14] and continuous WiFi traffic, with high load as = 1. Successful probability is obtained by counting the number of successfully acknowledged data frames normalized by the number of frames received with interferer disabled.…”

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