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TOSSIM: accurate and scalable simulation of entire TinyOS applications
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Source Conference On Embedded Networked Sensor Systems archive
Proceedings of the 1st international conference on Embedded networked sensor systems table of contents
Los Angeles, California, USA
SESSION: Platforms table of contents
Pages: 126 - 137  
Year of Publication: 2003
ISBN:1-58113-707-9
Authors
Philip Levis  University of California & Berkeley Intel Corporation, Berkeley, CA
Nelson Lee  University of California, Berkeley, CA
Matt Welsh  Harvard University, Cambridge, MA
David Culler  University of California & Berkeley Intel Corporation, Berkeley, CA
Sponsors
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
ACM: Association for Computing Machinery
SIGCOMM: ACM Special Interest Group on Data Communication
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
SIGOPS: ACM Special Interest Group on Operating Systems
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 52,   Downloads (12 Months): 357,   Citation Count: 164
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ABSTRACT

Accurate and scalable simulation has historically been a key enabling factor for systems research. We present TOSSIM, a simulator for TinyOS wireless sensor networks. By exploiting the sensor network domain and TinyOS's design, TOSSIM can capture network behavior at a high fidelity while scaling to thousands of nodes. By using a probabilistic bit error model for the network, TOSSIM remains simple and efficient, but expressive enough to capture a wide range of network interactions. Using TOSSIM, we have discovered several bugs in TinyOS, ranging from network bit-level MAC interactions to queue overflows in an ad-hoc routing protocol. Through these and other evaluations, we show that detailed, scalable sensor network simulation is possible.


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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CITED BY  165

Collaborative Colleagues:
Philip Levis: colleagues
Nelson Lee: colleagues
Matt Welsh: colleagues
David Culler: colleagues