A novel wireless sensor and actor network framework for autonomous monitoring and maintenance of lifeline infrastructures

This position paper introduces a novel wireless sensor and actor network (WSAN) framework for autonomous monitoring and maintenance of pipe and power line (oil, gas, water, electricity) infrastructures in an efficient and cost-effective manner. The main focus is on boosting the availability of lifeline infrastructures through advancements in the WSAN technology. First, we categorize and classify the existing lifeline monitoring systems. Second, we identify the requirements for effective and efficient monitoring and maintenance of lifeline infrastructures. Third, we propose a novel WSAN architecture that combines sensing with distributed decision-making and acting capabilities through advanced robotics. Two operational models for the proposed architecture are also presented. The first is a push-up model that employs low-cost, multi-functional sensors along the lifeline to observe certain phenomena of interest, e.g., leakage, ruptures, clogs, etc., in real time and reports to actors over wireless links. The actors process the received data, coordinate with each other in order to identify the most appropriate response. The second is a pull-down model that capitalizes the resources of elite nodes (i.e. actors) in the network.

[1]  John S. Heidemann,et al.  SWATS: Wireless sensor networks for steamflood and waterflood pipeline monitoring , 2011, IEEE Network.

[2]  L. Nachman,et al.  PIPENET: A Wireless Sensor Network for Pipeline Monitoring , 2007, 2007 6th International Symposium on Information Processing in Sensor Networks.

[3]  N. Mohamed,et al.  A Fault Tolerant Wired/Wireless Sensor Network Architecture for Monitoring Pipeline Infrastructures , 2008, 2008 Second International Conference on Sensor Technologies and Applications (sensorcomm 2008).

[4]  Lei Zhang,et al.  Development of an autonomous in-pipe robot for offshore pipeline maintenance , 2010, Ind. Robot.

[5]  Mohamed F. Younis,et al.  Application-Centric Connectivity Restoration Algorithm for Wireless Sensor and Actor Networks , 2011, GPC.

[6]  Wuu Wen Lin Novel distributed fiber optic leak detection system , 2004 .

[7]  Ian F. Akyildiz,et al.  MISE-PIPE: Magnetic induction-based wireless sensor networks for underground pipeline monitoring , 2011, Ad Hoc Networks.

[8]  Hyoukryeol Choi,et al.  Differential-drive in-pipe robot for moving inside urban gas pipelines , 2005, IEEE Transactions on Robotics.

[9]  Haichao Li,et al.  An Implementation of Seamless Human-Robot Interaction for Pipeline Welding Telerobotics , 2011 .

[10]  N. H. Ahmed,et al.  On-line partial discharge detection in cables , 1997, IEEE 1997 Annual Report Conference on Electrical Insulation and Dielectric Phenomena.

[11]  Guang Jun Zhang,et al.  Development of Telerobotic System for Remote Welding Operations in Unstructured Environment , 2007 .

[12]  Mohamed F. Younis,et al.  A sensor network for non-intrusive and efficient leak detection in long pipelines , 2011, 2011 IFIP Wireless Days (WD).

[13]  Ivan Stoianov,et al.  PIPENETa wireless sensor network for pipeline monitoring , 2007, IPSN.

[14]  S. Sitharama Iyengar,et al.  SPAMMS: A sensor-based pipeline autonomous monitoring and maintenance system , 2010, 2010 Second International Conference on COMmunication Systems and NETworks (COMSNETS 2010).

[15]  Paulo Seleghim,et al.  Assessment of the Performance of Acoustic and Mass Balance Methods for Leak Detection in Pipelines for Transporting Liquids , 2010 .

[16]  Ian F. Akyildiz,et al.  Wireless sensor and actor networks: research challenges , 2004, Ad Hoc Networks.

[17]  Bryan W. Karney,et al.  A selective literature review of transient-based leak detection methods , 2009 .

[18]  YangQuan Chen,et al.  Title : Aerial Surveillance System for Overhead Power Line Inspection , 2004 .

[19]  Tommaso Melodia,et al.  Communication and Coordination in Wireless Multimedia Sensor and Actor Networks , 2007 .