TY - JOUR
T1 - MISE-PIPE
T2 - Magnetic induction-based wireless sensor networks for underground pipeline monitoring
AU - Sun, Zhi
AU - Wang, Pu
AU - Vuran, Mehmet C.
AU - Al-Rodhaan, Mznah A.
AU - Al-Dhelaan, Abdullah M.
AU - Akyildiz, Ian F.
N1 - Funding Information:
Currently, he is an Assistant Professor in the Department of Computer Science and Engineering at the University of Nebraska-Lincoln and director of Cyber-Physical Networking Laboratory. Dr. Vuran received the NSF CAREER award in 2010. He has received numerous academic honors, including the 2010 Maude Hammond Fling Faculty Interdisciplinary Research Fellowship from the UNL Research Council and the 2007 ECE Graduate Research Assistant Excellence Award from Georgia Tech’s School of Electrical and Computer Engineering. He is an associate editor of Computer Networks Journal and Journal of Sensors. He is a member of the Institute of Electrical and Electronics Engineers (IEEE) and the IEEE Communication Society. His current research interests include cross-layer design and analysis, wireless sensor networks, underground sensor networks, cognitive radio networks, and deep space communication networks.
PY - 2011/5
Y1 - 2011/5
N2 - Underground pipelines constitute one of the most important ways to transport large amounts of fluid (e.g. oil and water) through long distances. However, existing leakage detection techniques do not work well in monitoring the underground pipelines due to the harsh underground environmental conditions. In this paper, a new solution, the magnetic induction (MI)-based wireless sensor network for underground pipeline monitoring (MISE-PIPE), is introduced to provide low-cost and real-time leakage detection and localization for underground pipelines. MISE-PIPE detects and localizes leakage by jointly utilizing the measurements of different types of sensors that are located both inside and around the underground pipelines. By adopting an MI waveguide technique, the measurements of different types of the sensors throughout the pipeline network can be reported to the administration center in real-time. The system architecture and operational framework of MISE-PIPE is first developed. Based on the operational framework, research challenges and open research issues are then discussed.
AB - Underground pipelines constitute one of the most important ways to transport large amounts of fluid (e.g. oil and water) through long distances. However, existing leakage detection techniques do not work well in monitoring the underground pipelines due to the harsh underground environmental conditions. In this paper, a new solution, the magnetic induction (MI)-based wireless sensor network for underground pipeline monitoring (MISE-PIPE), is introduced to provide low-cost and real-time leakage detection and localization for underground pipelines. MISE-PIPE detects and localizes leakage by jointly utilizing the measurements of different types of sensors that are located both inside and around the underground pipelines. By adopting an MI waveguide technique, the measurements of different types of the sensors throughout the pipeline network can be reported to the administration center in real-time. The system architecture and operational framework of MISE-PIPE is first developed. Based on the operational framework, research challenges and open research issues are then discussed.
KW - Leakage detection and localization
KW - Magnetic induction (MI) communications
KW - Underground pipelines
KW - Wireless sensor networks
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U2 - 10.1016/j.adhoc.2010.10.006
DO - 10.1016/j.adhoc.2010.10.006
M3 - Article
AN - SCOPUS:78651369526
SN - 1570-8705
VL - 9
SP - 218
EP - 227
JO - Ad Hoc Networks
JF - Ad Hoc Networks
IS - 3
ER -