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Effective source-level debugging of wireless sensor networks

Published: 06 November 2007 Publication History

Abstract

Sensor network debugging is notoriously difficult because many bugs manifest themselves only when they encounter the real world -- exactly when most powerful debugging tools can no longer be applied. There are currectly two common approaches to source level debugging in wireless sensor networks (WSNs), (i) simulation-based debugging [3], and (ii) wire-based debugging via logic analyzers or in-circuit emulators [1]. The former do not capture the true dynamics of a real deployment while the latter do not scale with the number of nodes and geographic size of the network. Thus, existing source-level debugging approaches for WSNs cannot be used in many real deployment environments.

References

[1]
A. Berent. Debugging techniques for embedded systems using real-time software trace. http://www.arm.com/pdfs/Debugging%20Techniques%20Paper.pdf.
[2]
J. Hui and D. Culler. The dynamic behavior of a data dissemination protocol for network programming at scale. In Proc. SenSys'04, 2004.
[3]
P. Levis, N. Lee, M. Welsh, and D. Culler. TOSSIM: accurate and scalable simulation of entire tinyOS applications. In Proc. SenSys'03, 2003.
[4]
J. Yang, M. L. Soffa, L. Selavo, and K. Whitehouse. Clairvoyant: a comprehensive source-level debugger for wireless sensor networks. In Proc. SenSys'07, 2007.

Cited By

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  • (2013)Test and diagnosis of wireless sensor networks applications2013 World Congress on Computer and Information Technology (WCCIT)10.1109/WCCIT.2013.6618748(1-7)Online publication date: Jun-2013
  • (2013)PIEtraceProceedings of the 28th IEEE/ACM International Conference on Automated Software Engineering10.1109/ASE.2013.6693065(48-58)Online publication date: 11-Nov-2013
  • (2012)Integrated fault tolerance framework for wireless sensor networks2012 19th International Conference on Telecommunications (ICT)10.1109/ICTEL.2012.6221282(1-6)Online publication date: Apr-2012
  • Show More Cited By

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Published In

cover image ACM Conferences
SenSys '07: Proceedings of the 5th international conference on Embedded networked sensor systems
November 2007
455 pages
ISBN:9781595937636
DOI:10.1145/1322263
  • General Chair:
  • Sanjay Jha
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 November 2007

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Author Tags

  1. distributed debugging
  2. embedded debugging
  3. source-level debugging
  4. wireless sensor networks

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SenSys '07 Paper Acceptance Rate 25 of 149 submissions, 17%;
Overall Acceptance Rate 174 of 867 submissions, 20%

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Cited By

View all
  • (2013)Test and diagnosis of wireless sensor networks applications2013 World Congress on Computer and Information Technology (WCCIT)10.1109/WCCIT.2013.6618748(1-7)Online publication date: Jun-2013
  • (2013)PIEtraceProceedings of the 28th IEEE/ACM International Conference on Automated Software Engineering10.1109/ASE.2013.6693065(48-58)Online publication date: 11-Nov-2013
  • (2012)Integrated fault tolerance framework for wireless sensor networks2012 19th International Conference on Telecommunications (ICT)10.1109/ICTEL.2012.6221282(1-6)Online publication date: Apr-2012
  • (2011)TinyLTS: Efficient network-wide Logging and Tracing System for TinyOS2011 Proceedings IEEE INFOCOM10.1109/INFCOM.2011.5935011(2033-2041)Online publication date: Apr-2011

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