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This article, a force sensitive resistor (FSR) based wireless sensor network- an underground wireless monitoring system whose components are insulated against physical attacks from malicious intruders, proffers solution to abate the incidences of pipeline vandalisation, crude oil theft, and control oil pollution in the Niger Delta region of Nigeria. A force sensitive resistor based wireless sensor network was implemented in MATLAB /Simulink environment to find out leaks in an oil bearing pipeline. Two scenarios were studied. One in the absence of leak with four sensor nodes/four auxiliary sensor nodes, and the other when leak was present with four sensor nodes/four auxiliary sensor nodes. Results obtained indicate that the sensed pressure of each of the sensor nodes/ auxiliary sensor nodes of scenario 1 are within the preset pressure threshold of 120-125 kPa at 120.2–120.6 kPa, while for the second scenario, the results found indicate that the sensed pressure of each of the sensor nodes/ auxiliary sensor nodes of scenario 2 are lower than the preset pressure threshold at 114.2–105.6 kPa. The reduced pressure in any segment indicates the presence of leak in that segment. Thus, leaks are detected whenever the sensed pressure within any of the segments of the pipeline being monitored drops below the preset pressure threshold upon comparison by the microcontroller of the designed system. The node/auxiliary node within the segment where the leakage is found out then sends a pre-installed leak report containing node/auxiliary node location with time stamp to designated office(s) and personnel for necessary action(s) to be taken.

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References

  1. Nwilo PC, Badejo OT. Impacts of oil spillage along Nigerian coast, The Association for Environmental Health and Sciences, 2001;10(2):140–192.
     Google Scholar
  2. Jawhar I, Mohamed N, Shuaib K. Framework for pipeline infrastructure monitoring using wireless sensor networks. The Sixth Annual Wireless Telecommunications Symposium, 2007:1–7.
     Google Scholar
  3. Akyildiz IF, Su W, Sankarasubramaniam Y, Cayirci E. A Survey on Wireless Sensor Networks. IEEE Communications Magazine, 2002;8(40):102–114.
     Google Scholar
  4. Petersen S, Doyle P, Vatland S, Aasland V, Andersen, TC, Sjong, D. Requirements, Drivers and Analysis of Wireless Sensor Network Solutions for Oil and Gas Industry. Proceedings of the IEEE Conference on Emerging technologies and Factory Automation, 2007; 219–226.
     Google Scholar
  5. Sharma G, Bala S, Verma AK, Singh T. Security in Wireless Sensor Networks using Frequency Hopping, International Journal of Computer Applications, 2010;12(6):1–5.
     Google Scholar
  6. Bisdikian C. An Overview of the Bluetooth Wireless Technology. IEEE Communication Magazine, 2012;39(12):86–94.
     Google Scholar
  7. Iwendi CO, Allen, AR. Wireless Sensor Network Nodes: Security and Deployment in Niger-Delta Oil and Gas Sector. International Journal of Network Security and Its Applications, 2011;3(1):68–79.
     Google Scholar
  8. Fasasi T, Maynard D, Nasr H. Wireless sensors remotely monitor wells in Nigeria swamps. Oil and Gas Journal, 2005;103(18):49–52.
     Google Scholar
  9. Obaseki Godwin. http://punchng.com//1.3bn-crude-oil-lost, 2019.
     Google Scholar
  10. Sun Hee Y, Wei Y, John H, Brian L, Cyrus S. SWATS: Wireless Sensor Networks for Steamflood and Waterflood Pipeline Monitoring”. IEEE Network: The Magazine of Global Internetworking, 2011;25 (1):50–56.
     Google Scholar
  11. Nader M, Imad J. A Fault Tolerant Wired/Wireless Sensor Network Architecture for Monitoring Pipeline Infrastructures. Proceedings of the 2nd International Conference on Sensor Technologies and Application, IEEE Computer Society Press, 2008:1–6.
     Google Scholar
  12. Fawaz A. Proposing a Secure and Reliable System for Critical Pipeline Infrastructure Based on Wireless Sensor Networks. Journal of Software Engineering, 2011;5(4):145–153.
     Google Scholar
  13. Wen K., Xia Z., Yu W. & Gong J. A new lumped parameter model for natural gas pipelines in state space. Energies, 2018;11(18):1–17.
     Google Scholar
  14. Oyedeko KFK, Balogun HA. Modelling and simulation of a leak detection for oil and gas pipelines via transient model: A case study of the Niger Delta. Journal of Energy Technologies and Policy, 2015;5(1):16–27.
     Google Scholar
  15. Atmel Corporation, 2006.
     Google Scholar
  16. Chang W, Sung T, Huang H, Hsu W, Kuo C, Chang J, Hou Y, Lan Y, Kuo W, Lin Y, Yang Y. A smart medication system using wireless sensor network technologies. Sensors and Actuators A: Physical, 2011;172:315–321.
     Google Scholar
  17. Gutiérrez-Reyes E., García-Segundo C, García-Valenzuela A., Reyes-Ramírez B, Gutiérrez-Juárez G, Guadarrama-Santana A. Analysis of the transfer function for layered piezoelectric ultrasonic sensors. AIP Advances, 2017;7(6):1–14.
     Google Scholar
  18. Vasiljevi? D, Brajkovi? D, Krklješ D, Obrenovi? B, Stojanovi?, GM. Testing and Characterization of Multilayer Force Sensing Resistors Fabricated on Flexible Substrate. Journal of Microelectronics, Electronic Components and Materials, 2017;47(1):40–48.
     Google Scholar