The DOI matches its Crossref record.
TOSSIM: accurate and scalable simulation of entire TinyOS applications
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.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Distributed regression: an efficient framework for modeling sensor network data
Guestrin, C., Bodik, P., Thibaux, R., Paskin, M., & Madden, S. (2004) · Proceedings of the 3rd international symposium on Information processing in sensor networks · doi:10.1145/984622.984624 · Cited by 429
Geographic routing made practical
Kim, Y.-J., Govindan, R., Karp, B., & Shenker, S. J. (2005) · doi:10.5555/1251203.1251219 · Cited by 373
Software Defined Networking for Improved Wireless Sensor Network Management: A Survey
Ndiaye, M., Hancke, G., & Abu-Mahfouz, A. (2017) · Sensors · doi:10.3390/s17051031 · Cited by 207
Metadata
- Authors
- Levis, P., Lee, N., Welsh, M., & Culler, D.
- Venue
- Proceedings of the 1st international conference on Embedded networked sensor systems
- Publisher
- ACM
- Published
- 2003-11-05
- Pages
- 126-137
- OpenAlex
- W2171427043
- Cited by
- 1,999
- References
- 0
- FWCI
- 40.41
- Type
- conference paper
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: TOSSIM: accurate and scalable simulation of entire TinyOS applications. https://app.cochat.ai/papers/10.1145/958491.958506
- The paper
- Levis, P., Lee, N., Welsh, M., & Culler, D. (2003). TOSSIM: accurate and scalable simulation of entire TinyOS applications. Proceedings of the 1st international conference on Embedded networked sensor systems. https://doi.org/10.1145/958491.958506
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
