Empirical channel model for placement optimisation of sensors deployed on oil & gas transmission pipelines

K. Sasloglou, G. Tsao, I. A. Glover, V. Gazis, N. Frangiadakis, P. Kikiras

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Sensor optimisation is a significant challenge addressed when deploying a Wireless Sensor Network, especially in applications where a large number of sensors is considered. However, a compromise between the minimum number of sensors and the best possible performance shall be taken into account. For this reason, an empirical channel model is necessary. This study is focused on the RF propagation around and along steel cylindrical surfaces. A large number of transmission gain measurements was conducted within the 2.4 GHz ISM-band. An empirical channel model was extracted from those measurements as a function of cylinder's arc length s and curvature k. This channel model could be used for the optimisation of sensor placement during planning and deployment of a wireless sensor network for applications such as monitoring of Oil and Gas transmission pipelines.

Original languageEnglish
Title of host publicationPCI 2013 - 17th Panhellenic Conference in Informatics, Proceedings
Pages343-348
Number of pages6
DOIs
Publication statusPublished - 2013
Event17th Panhellenic Conference on Informatics - The MET Hotel , Thessaloniki, Greece
Duration: 19 Sep 201321 Sep 2013
Conference number: 17
https://www.certh.gr/6AEABC31.en.aspx (Link to Conference Website)

Conference

Conference17th Panhellenic Conference on Informatics
Abbreviated titlePCI 2013
CountryGreece
CityThessaloniki
Period19/09/1321/09/13
OtherThe PCI is an event established by the Greek Computer Society. PCI 2013 aims to provide an effective channel of communication between decision-makers, researchers, practitioners and persons concerned with the latest research, scientific development and practice on ICT in order to discuss topics that are of current, relevance and significance for national competitiveness as well as sustainable, robust, and equitable regional development.
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Sasloglou, K., Tsao, G., Glover, I. A., Gazis, V., Frangiadakis, N., & Kikiras, P. (2013). Empirical channel model for placement optimisation of sensors deployed on oil & gas transmission pipelines. In PCI 2013 - 17th Panhellenic Conference in Informatics, Proceedings (pp. 343-348) https://doi.org/10.1145/2491845.2491886