MISE-PIPE: Magnetic induction-based wireless sensor networks for underground pipeline monitoring

Authors:
Zhi Sun;Pu Wang;Mehmet C. Vuran;Mznah A. Al-Rodhaan;Abdullah M. Al-Dhelaan;Ian F. Akyildiz
Affiliations:
Broadband Wireless Networking Laboratory, School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, United States;Broadband Wireless Networking Laboratory, School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, United States;Department of Computer Science and Engineering, University of Nebraska-Lincoln, Lincoln, NE 68588, United States;College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia;College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia;Broadband Wireless Networking Laboratory, School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, United States and College of Computer and Information S ...
Venue:
Ad Hoc Networks
Year:
2011

Citing 8
Cited 3

Blind Channel Equalization and Identification

Blind Channel Equalization and Identification
Wireless sensor networks: a survey

Computer Networks: The International Journal of Computer and Telecommunications Networking
PIPENETa wireless sensor network for pipeline monitoring

Proceedings of the 6th international conference on Information processing in sensor networks
Empirical Evaluation of Wireless Underground-to-Underground Communication in Wireless Underground Sensor Networks

DCOSS '09 Proceedings of the 5th IEEE International Conference on Distributed Computing in Sensor Systems
Underground wireless communication using magnetic induction

ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Development of a testbed for wireless underground sensor networks

EURASIP Journal on Wireless Communications and Networking - Special issue on simulators and experimental testbeds design and development for wireless networks
Full length article: Channel model and analysis for wireless underground sensor networks in soil medium

Physical Communication
Full length article: Signal propagation techniques for wireless underground communication networks

Physical Communication

Magneto-inductive networked rescue system (MINERS): taking sensor networks underground

Proceedings of the 11th international conference on Information Processing in Sensor Networks
Survey Focal design issues affecting the deployment of wireless sensor networks for pipeline monitoring

Ad Hoc Networks
An optimal leakage detection strategy for underground pipelines using magnetic induction-based sensor networks

WASA'13 Proceedings of the 8th international conference on Wireless Algorithms, Systems, and Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

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.