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

Published: 19 September 2013 Publication History

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 κ. 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.

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Cited By

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  • (2022)Oil and Gas Upstream Sector: The Use of IEC-61499 and OPCHandbook of Smart Materials, Technologies, and Devices10.1007/978-3-030-84205-5_24(1051-1082)Online publication date: 10-Nov-2022
  • (2022)Oil and Gas Upstream Sector: The use of IEC-61499 and OPCHandbook of Smart Materials, Technologies, and Devices10.1007/978-3-030-58675-1_24-1(1-32)Online publication date: 26-Mar-2022
  • (2016)Coverage-based node placement optimization in wireless sensor network with linear topology2016 IEEE International Conference on Communications (ICC)10.1109/ICC.2016.7511421(1-6)Online publication date: May-2016
  • Show More Cited By

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cover image ACM Other conferences
PCI '13: Proceedings of the 17th Panhellenic Conference on Informatics
September 2013
359 pages
ISBN:9781450319690
DOI:10.1145/2491845
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Sponsors

  • University of Macedonia
  • Aristotle University of Thessaloniki
  • The University of Sheffield: The University of Sheffield
  • Alexander TEI of Thessaloniki

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 September 2013

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Author Tags

  1. channel characterisation
  2. channel modelling
  3. cylindrical surface
  4. empirical model
  5. radio frequency propagation
  6. sensor placement optimisation
  7. steel cylinder
  8. transmission gain measurements
  9. wireless sensor network

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  • Research-article

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PCI 2013
Sponsor:
  • The University of Sheffield
PCI 2013: 17th Panhellenic Conference on Informatics
September 19 - 21, 2013
Thessaloniki, Greece

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Overall Acceptance Rate 190 of 390 submissions, 49%

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Cited By

View all
  • (2022)Oil and Gas Upstream Sector: The Use of IEC-61499 and OPCHandbook of Smart Materials, Technologies, and Devices10.1007/978-3-030-84205-5_24(1051-1082)Online publication date: 10-Nov-2022
  • (2022)Oil and Gas Upstream Sector: The use of IEC-61499 and OPCHandbook of Smart Materials, Technologies, and Devices10.1007/978-3-030-58675-1_24-1(1-32)Online publication date: 26-Mar-2022
  • (2016)Coverage-based node placement optimization in wireless sensor network with linear topology2016 IEEE International Conference on Communications (ICC)10.1109/ICC.2016.7511421(1-6)Online publication date: May-2016
  • (2013)Empirical channel models for optimized communications in a network of unmanned ground vehiclesIEEE International Symposium on Signal Processing and Information Technology10.1109/ISSPIT.2013.6781864(000113-000118)Online publication date: Dec-2013

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