Title: An investigation on wireless sensor networks pipeline monitoring system

Authors: Maroua Abdelhafidh; Mohamed Fourati; Lamia Chaari Fourati; Amor Laabidi

Addresses: Laboratory of Technology of Smart Systems (LT2S), Digital Research Center of Sfax (CRNS), National Engineering School of Sfax, University of Sfax, Sfax, Tunisia ' Laboratory of Technology of Smart Systems (LT2S), Digital Research Center of Sfax (CRNS), Higher Institute of Computer Science and Multimedia of Sfax, University of Sfax, Sfax, Tunisia ' Laboratory of Technology of Smart Systems (LT2S), Digital Research Center of Sfax (CRNS), Higher Institute of Computer Science and Multimedia of Sfax, University of Sfax, Sfax, Tunisia ' Research Direction of Tunisian Chemical Group, Sfax, Tunisia

Abstract: The Pipeline Monitoring Systems (PMS) have been appeared as an interesting research area that should be deeply studied. Accordingly, the pipelines in industrial and critical domains must be permanently supervised to guarantee their continuous functionality and to offer a comprehensive fluid distribution system. Wireless Sensor Network (WSN) technology is the most suitable technique to detect and to localise anomalies in pipelines. This is enabled by the intelligent sensors that establish an efficient pipeline data collection and streaming and the real-time system reaction in case of failure detection. In this survey, we give a holistic view of WSN-PMS based on recent state of the art. We present the taxonomy for WSN-PMS in which we detail their specifications and address their challenges to enhance their real deployment. We review the different WSN-based pipeline leak detection methods and discuss their accuracy and effectiveness level to give depth knowledge on WSN-PMS.

Keywords: fluid; pipeline; WSN; wireless sensor network; PMS; pipeline monitoring system; leak detection; detection method; hybrid technique; real-time monitoring.

DOI: 10.1504/IJWMC.2018.090002

International Journal of Wireless and Mobile Computing, 2018 Vol.14 No.1, pp.25 - 46

Received: 19 Dec 2016
Accepted: 29 Oct 2017
Published online: 26 Feb 2018 *

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