Improving RSSI-based path-loss models accuracy for critical infrastructures: A smart grid substation case-study

Journal ar
IEEE Transactions on Industrial Informatics
  • Volumen: 14
  • Número: 5
  • Fecha: 01 May 2018
  • Páginas: 2230-2240
  • ISSN: 15513203
  • Source Type: Journal
  • DOI: 10.1109/TII.2017.2774838
  • Document Type: Article
  • Publisher: IEEE Computer Society
© 2005-2012 IEEE. IoT is rapidly expanding to all productive sectors; however, as thousands of devices are envisioned to be deployed, a careful study of the radio spectrum (and its interferences) must be considered to predict and improve the network performance. In this sense, radio-channel characterization is essential; in particular, path-loss characterization allows to mathematically predict the propagation behavior and interferences of IoT devices with precision. In this paper, we show that by means of a set of mathematical corrections and measuring procedures, we can soundly employ the received signal strength indicator (RSSI), available in most IoT motes, to derive accurate path-loss models of industrial infrastructures. Experimental results reveal that the proposed scheme substantially improves the characterization accuracy of a real smart grid environment. This, in turn, is proven to have a measurable positive impact on the planning stage of an IoT network, whose life-of-time and cost analysis can be better anticipated.

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