I. Vasilescu
ABSTRACT
In this paper we present a novel platform for underwater sensor networks to be used for long-term monitoring of coral reefs and fisheries. The sensor network consists of static and mobile underwater sensor nodes. The nodes communicate point-to-point using a novel high-speed optical communication system integrated into the TinyOS stack, and they broadcast using an acoustic protocol integrated in the TinyOS stack. The nodes have a variety of sensing capabilities, including cameras, water temperature, and pressure. The mobile nodes can locate and hover above the static nodes for data muling, and they can perform network maintenance functions such as deployment, relocation, and recovery. In this paper we describe the hardware and software architecture of this underwater sensor network. We then describe the optical and acoustic networking protocols and present experimental networking and data collected in a pool, in rivers, and in the ocean. Finally, we describe our experiments with mobility for data muling in this network.
- Autonomous Ocean Sampling Network (AOSN)II, collaborative project. http://www.princeton.edu/~dcsl/aosn/.Google Scholar
- Whoi modem: http://acomms.whoi.edu/micromodem/.Google Scholar
- Akyiditz, I., Pompli, D., and Melodia, T. Underwater sensor networks: Research challenges. Ad-hoc Networks (2005 (to appear)).Google Scholar
- Akyildiz, I. F., Pompili, D., and Melodia, T. Challenges for efficient communication in underwater acoustic sensor networks. ACM Sigbed Review 1, 2 (july 2004). Google ScholarDigital Library
- Bansal, N., and Liu, Z. Capacity, delay and mobility in wireless ad-hoc networks. In INFOCOM (San Francisco, CA, April 2003).Google Scholar
- Bokser, V., Oberg, C., Sukhatme, G., and Requicha, A. A small submarine robot for experiments in underwater sensor networks. In IFAC - International Federation of Automatic Control Symposium on Intelligent Autonomous Vehicles (2004).Google ScholarCross Ref
- Dunbabin, M., Roberts, J., Usher, K., Winstanley, G., and Corke, P. A hybrid auv design for shallow water reef navigation. In Proceedings of the 2005 International Conference on Robotics and Automation (Barcelona, Apr. 2005), pp. 2117--2122.Google ScholarCross Ref
- Dunbabin, M., Usher, K., and Corke, P. Visual motion estimation for an autonomous underwater reef monitoring robot. In Proc. International Conference on Field & Service Robotics (Port Douglas, 2005), pp. 57--68.Google Scholar
- Fiorelli, E., Leonard, N. E., Bhatta, P., Paley, D., Bachmayer, R., and Fratantoni, D. M. Multi-AUV control and adaptive sampling in Monterey Bay. In Proceedings of the IEEE Autonomous Underwater Vehicles: Workshop on Multiple AUV Operations (Sebasco, ME, USA, June 2004).Google ScholarCross Ref
- Grossglauser, M., and Vetterli, M. Locating nodes with ease: Mobility diffusion of last encounters in ad hoc networks. In INFOCOM (San Francisco, CA, April 2003).Google Scholar
- Heidemann, J., Li, Y., Syed, A., Wills, J., and Ye, W. Underwater sensor networking: Research challenges and potential applications. Tech. Rep. ISI-TR-2005-603, USC/Information Sciences Institute, July 2005.Google Scholar
- Hill, J., Bounadonna, P., and Culler, D. Active message communication for tiny network sensors. In INFOCOM (2001).Google Scholar
- Hill, J., Szewczyk, R., Woo, A., Hollar, S., Culler, D., and Pister, K. System architecture directions for network sensors. In ASPLOS (2000). Google ScholarDigital Library
- Howe, B. M., McGinnis, T., and Kirkham, H. Sensor Networks for Cabled Ccean Observatories. EGS - AGU - EUG Joint Assembly, Abstracts from the meeting held in Nice, France, 6 - 11 April 2003, abstract #12598 (Apr. 2003), 12598-+.Google Scholar
- Jain, S., Shah, R., Brunette, W., Borriello, G., and Roy, S. Exploring mobility for energy efficient data collection in sensor networks. ACM/Kluwer Mobile Networks and Applications Journal to appear (2005), Also in Proc. of 2004 WiOpt 2004. Google ScholarDigital Library
- Jea, D., Somasundra, A., and Srivastava, M. Multiple controlled mobile elements (data mules) for data collection in sensor networks. In IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS) (2005). Google ScholarDigital Library
- Kaiser, W., Pottie, G., Srivastava, M., Sukhatme, G., Villasenor, J., and Estrin, D. Networked infomechanical systems (nims) for ambient intelligence. Technical report 31, UCLA Center for Embedded Networked Systems, 2003.Google Scholar
- Kilfoyle, D., and Baggeroer, A. The state of the art in underwater acoustic telemetry. IEEE J. Oceanic Engineering 25, 1 (Jan. 2000), 4--27.Google ScholarCross Ref
- Leonard, J., Bennett, A. A., Smith, C. M., and Feder, H. J. S. Autonomous underwater vehicle navigation. Technical memorandum 98-1, MIT Marine Robotics Laboratory, 1998.Google Scholar
- Moore, D., Leonard, J., Rus, D., and Teller, S. Robust distributed network localization with noisy range measurements. In ACM SenSys (Baltimore, MD, Nov. 2004). Google ScholarDigital Library
- Perevalov, E., and Blum, R. Delay limited capacity of ad hoc networks: Asymptotically optimal transmission and relaying strategy. In INFOCOM (San Francisco, CA, April 2003).Google Scholar
- Proakis, J., Sozer, E., Rice, J., and Stojanovic, M. Shallow water acoustic networks. IEEE Communications Magazine (Nov. 2001), 114--119. Google ScholarDigital Library
- Schill, F., Zimmer, U., and Trumpf, J. Visible spectrum optical communications and distance sensing for underwater applications. In Proc. Australasian Conf. Robotics and Automation (Canberra, 2004).Google Scholar
- Shah, R. C., Roy, S., Jain, S., and Brunette, W. Data mules: Modeling a three-tier architecture for sparse sensor networks. In First IEEE International Workshop on Sensor Network Protocols and Applications (SPNA) (Anchorage, AK, May 2003).Google ScholarCross Ref
- Sikka, P., Corke, P., and Overs, L. Wireless sensor devices for animal tracking and control. In Proc. First IEEE Workshop on Embedded Networked Sensors (Tampa, Florida, Nov. 2004). Google ScholarDigital Library
- Tivey, M. A low power, low cost, underwater optical communications system. Ridge 2000 Events (Apr. 2004), 27--29.Google Scholar
- Vasilescu, I., Varshavskaya, P., Kotay, K., and Rus, D. Autonomous modular optical underwater robot (amour): Design, prototype, and feasibility study. In Proceedings of the 2005 International Conference on Robotics and Automation (Barcelona, Apr. 2005).Google ScholarCross Ref
- Ye, W., Heidemann, J., and Estrin, D. An energy-efficient mac protocol for wireless sensor networks. In INFOCOM (New York, NY, June 2002).Google Scholar
- Yuh, J. Design and control of autonomous underwater robots: A survey. Autonomous Robots 8, 1 (2000), 7--24. Google ScholarDigital Library
Index Terms
- Data collection, storage, and retrieval with an underwater sensor network
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