An Underwater Robotic Network for Monitoring Nuclear Waste Storage Pools

Nuclear power provides a significant portion of our current energy demand and is likely to become more wide spread with growing world population. However, the radioactive waste generated in these power plants must be stored for around 60 years in underwater storage pools before permanent disposal. These underwater storage environments must be carefully monitored and controlled to avoid an environmental catastrophe. In this paper, we present an underwater mobile sensor network that is being developed to monitor these waste storage pools. This sensing system will also be used in very old storage pools to build maps of their internal structure which can then be used for waste removal and pool decommissioning. In this paper, we outline the unique challenges of our application scenario which include robot localization in cluttered underwater environments and the effect of location errors on environment mapping. We also list other industrial applications that can benefit from our underwater sensor network.

[1]  Hans P. Moravec Sensor Fusion in Certainty Grids for Mobile Robots , 1988, AI Mag..

[2]  Uwe R. Zimmer,et al.  Acoustical methods for azimuth, range and heading estimation in underwater swarms , 2008 .

[3]  S. Weisenburger,et al.  Radioactive waste management , 1979, Nature.

[4]  Ying Zhang,et al.  Robust distributed node localization with error management , 2006, MobiHoc '06.

[5]  Felix Schill,et al.  Distributed Communication in Swarms of Autonomous Underwater Vehicles , 2007 .

[6]  M. Gerla,et al.  AUV-Aided Localization for Underwater Sensor Networks , 2007, International Conference on Wireless Algorithms, Systems and Applications (WASA 2007).

[7]  Weihua Zhuang,et al.  Non-line-of-sight error mitigation in TDOA mobile location , 2001, GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No.01CH37270).

[8]  J. Holtzman,et al.  The non-line of sight problem in mobile location estimation , 1996, Proceedings of ICUPC - 5th International Conference on Universal Personal Communications.

[9]  William K. Durfee,et al.  IEEE/RSJ/GI International Conference on Intelligent Robots and Systems , 1994 .

[10]  Pi-Chun Chen,et al.  A non-line-of-sight error mitigation algorithm in location estimation , 1999, WCNC. 1999 IEEE Wireless Communications and Networking Conference (Cat. No.99TH8466).

[11]  Saipradeep Venkatraman,et al.  Location using LOS range estimation in NLOS environments , 2002, Vehicular Technology Conference. IEEE 55th Vehicular Technology Conference. VTC Spring 2002 (Cat. No.02CH37367).

[12]  Saleh O. Al-Jazzar,et al.  A scattering model based approach to NLOS mitigation in TOA location systems , 2002, Vehicular Technology Conference. IEEE 55th Vehicular Technology Conference. VTC Spring 2002 (Cat. No.02CH37367).

[13]  Manuela M. Veloso,et al.  GameBots: a flexible test bed for multiagent team research , 2002, CACM.

[14]  Dario Pompili,et al.  Three-dimensional and two-dimensional deployment analysis for underwater acoustic sensor networks , 2009, Ad Hoc Networks.

[15]  Yunhao Liu,et al.  Quality of Trilateration: Confidence-Based Iterative Localization , 2008, IEEE Transactions on Parallel and Distributed Systems.

[16]  Huosheng Hu Biologically Inspired Design of Autonomous Robotic Fish at Essex , 2006 .

[17]  Uwe R. Zimmer,et al.  Scale-adaptive polygonal formations of submersible vehicles and tracking isocontours , 2008, 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[18]  Pak-Chung Ching,et al.  Time-of-arrival based localization under NLOS conditions , 2006, IEEE Transactions on Vehicular Technology.

[19]  S. Al-Jazzar,et al.  New algorithms for NLOS Identification , 2005 .

[20]  Charles D. Hollister,et al.  BURIAL OF RADIOACTIVE WASTE UNDER THE SEABED , 1998 .

[21]  Hans P. Moravec Robot spatial perception by stereoscopic vision and 3D evidence grids , 1996 .

[22]  Sebastian Thrun,et al.  Robotic mapping: a survey , 2003 .

[23]  Richard T. Vaughan,et al.  The Player/Stage Project: Tools for Multi-Robot and Distributed Sensor Systems , 2003 .

[24]  Brian Yamauchi,et al.  A frontier-based approach for autonomous exploration , 1997, Proceedings 1997 IEEE International Symposium on Computational Intelligence in Robotics and Automation CIRA'97. 'Towards New Computational Principles for Robotics and Automation'.

[25]  山田 祐,et al.  Open Dynamics Engine を用いたスノーボードロボットシミュレータの開発 , 2007 .

[26]  N.B. Mandayam,et al.  Decision theoretic framework for NLOS identification , 1998, VTC '98. 48th IEEE Vehicular Technology Conference. Pathway to Global Wireless Revolution (Cat. No.98CH36151).

[27]  David E. Culler,et al.  The effects of ranging noise on multihop localization: an empirical study , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..

[28]  David Johan Christensen,et al.  HYDRA: From Cellular Biology to Shape-Changing Artefacts , 2005, ICANN.

[29]  Winston Khoon Guan Seah,et al.  Localization in underwater sensor networks: survey and challenges , 2006, Underwater Networks.

[30]  K. Mohseni,et al.  Thrust Characterization of a Bioinspired Vortex Ring Thruster for Locomotion of Underwater Robots , 2008, IEEE Journal of Oceanic Engineering.

[31]  Jiang Li,et al.  On the Performance of Location-Centric Storage in Sensor Networks , 2007, International Conference on Wireless Algorithms, Systems and Applications (WASA 2007).

[32]  Viii Supervisor Sonar-Based Real-World Mapping and Navigation , 2001 .

[33]  Peter Cheeseman,et al.  On the Representation and Estimation of Spatial Uncertainty , 1986 .

[34]  M. Gerla,et al.  Multi Stage Underwater Sensor Localization Using Mobile Beacons , 2008, 2008 Second International Conference on Sensor Technologies and Applications (sensorcomm 2008).

[35]  Mani B. Srivastava,et al.  Dynamic fine-grained localization in Ad-Hoc networks of sensors , 2001, MobiCom '01.