Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,631

The DOI matches its Crossref record.

The nesC language: a holistic approach to networked embedded systems

Gay, David, Levis, Philip, von Behren, Robert, Welsh, Matt, Brewer, Eric, Culler, David·2014·ACM SIGPLAN Notices

Abstract

We present nesC, a programming language for networked embedded systems that represent a new design space for application developers. An example of a networked embedded system is a sensor network, which consists of (potentially) thousands of tiny, lowpower "motes," each of which execute concurrent, reactive programs that must operate with severe memory and power constraints. nesC's contribution is to support the special needs of this domain by exposing a programming model that incorporates event-driven execution, a flexible concurrency model, and component-oriented application design. Restrictions on the programming model allow the nesC compiler to perform whole-program analyses, including data-race detection (which improves reliability) and aggressive function inlining (which reduces resource consumption). nesC has been used to implement TinyOS, a small operating system for sensor networks, as well as several significant sensor applications. nesC and TinyOS have been adopted by a large number of sensor network research groups, and our experience and evaluation of the language shows that it is effective at supporting the complex, concurrent programming style demanded by this new class of deeply networked systems.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1145/2641638.2641652

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.

A few free checks a day · papers already verified open instantly · results are public

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

See all 1,631

Metadata

Authors
Gay, D., Levis, P., von Behren, R., Welsh, M., Brewer, E., & Culler, D.
Venue
ACM SIGPLAN Notices
Published
2014-07
Volume
49
Issue
4S
Pages
41-51
ISSN
  • 0362-1340 (ISSN-L)
  • 1558-1160
OpenAlex
W1971903460
Cited by
1,631
References
0
FWCI
60.08
Type
journal article
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: The nesC language: a holistic approach to networked embedded systems. https://app.cochat.ai/papers/10.1145/2641638.2641652
The paper
Gay, D., Levis, P., von Behren, R., Welsh, M., Brewer, E., & Culler, D. (2014). The nesC language: a holistic approach to networked embedded systems. ACM SIGPLAN Notices. https://doi.org/10.1145/2641638.2641652

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.