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Disruption tolerant shell
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Source Applications, Technologies, Architectures, and Protocols for Computer Communication archive
Proceedings of the 2006 SIGCOMM workshop on Challenged networks table of contents
Pisa, Italy
Pages: 189 - 196  
Year of Publication: 2006
ISBN:1-59593-572-X
Authors
Martin Lukac  UCLA CENS, Los Angeles, CA
Lewis Girod  MIT CSAIL, Cambridge, MA
Deborah Estrin  UCLA CENS, Los Angeles, CA
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 8,   Downloads (12 Months): 44,   Citation Count: 3
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ABSTRACT

Wireless network technology is being applied to a wide range of scientific and engineering problems and across a wide dynamic range of spatial scales. When node placement is constrained by the application (e.g, coupled to sensor placement needs), and can not rely on pre-existing infrastructure (e.g., cellular infrastructure or power-lines), such systems may experience erratic link qualities and intermittent node disconnection. These characteristics, combined with unpredictable environmental conditions, make it difficult to rely upon traditional end to end connections for regular high bandwidth data acquisition and for system management and configuration. We have implemented and deployed such a "challenged network" system of 50 nodes for use by seismologists along a part of the Mesoamerican Subduction Experiment (MASE) broadband seismic array, stretching 500 KM from Acapulco to Tampico through Mexico city. In addition to supporting Delay Tolerant data transfer of relatively high bandwidth seismic data, our system includes a reliable asynchronous remote shell interface (referred to as Disruption Tolerant Shell, DTS) to accomplish the management on these types of system. We present the implementation of this solution and its evaluation on a 13 node portion of the MASE network.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Middle america subduction experiment (mase), http://www.tectonics.caltech.edu/mase/, http://research.cens.ucla.edu/research. Caltech Tectonics Observatory and UNAM Institutes of Geophysics and Geology and UCLA Center for Embedded Network Sensors and UNAM Center for Geosciences.
 
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S. Burleigh, A. Hooke, L. Torgerson, K. Fall, V. Cerf, B. Durst, K. Scott, and H. Weiss. Delay-tolerant networking: an approach to interplanetary internet. IEEE Communications Magazine, 2003.
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L. Girod, J. Elson, A. Cerpa, T. Stathopoulos, N. Ramanathan, and D. Estrin. Emstar: a software environment for developing and deploying wireless sensor networks. In Proceedings of the 2004 USENIX Technical Conference, Boston, MA, 2004.
 
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L. Girod, M. Lukac, A. Parker, T. Stathopoulos, J. Tseng, H. Wang, D. Estrin, R. Guy, and E. Kohler. A reliable multicast mechanism for sensor network applications. Technical report, CENS, April 25, 2005 2005.
 
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Intel. Intel stargate, http://platformx.sourceforge.net.
 
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P. Levis, N. Patel, D. E. Culler, and S. Shenker. Trickle: A self-regulating algorithm for code propagation and maintenance in wireless sensor networks. In Proceedings of 1st Symposium on Networked Systems Design and Implementation (NSDI 2004), March 29--31, 2004, San Francisco, California, 2004.
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Collaborative Colleagues:
Martin Lukac: colleagues
Lewis Girod: colleagues
Deborah Estrin: colleagues