Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 375

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Modulation Techniques for Communication via Diffusion in Nanonetworks

Kuran, M. S., Yilmaz, H. B., Tugcu, T., Akyildiz, I. F.·2011·2011 IEEE International Conference on Communications (ICC)

Abstract

Communication via diffusion of molecules is an effective method for transporting information in nanonetworks. In this paper, novel modulation techniques called Concentration Shift Keying (CSK) and Molecule Shift Keying (MSK) are proposed for coding and decoding information of the so-called messenger molecule concentration waves in nanonetworks. The first technique, CSK, modulates the information via the variation in the concentration of the messenger molecules whereas MSK utilizes different types of messenger molecules to represent the information. Using simulation, the performance of these modulation techniques is evaluated in terms of susceptibility to noise and transmission power requirements. The new techniques achieve high channel capacity values, in particular, the MSK technique exhibits more robustness against noise and requires less power.

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 · 10.1109/icc.2011.5962989

Cites

6 of 6 references verified0 citation errors · 0 not checkable

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

Cites

Show all 6 references

Cited by

See all 375

Metadata

Authors
Kuran, M. S., Yilmaz, H. B., Tugcu, T., & Akyildiz, I. F.
Venue
2011 IEEE International Conference on Communications (ICC)
Publisher
IEEE
Published
2011-06
Pages
1-5
ISSN
1550-3607 (ISSN-L)
OpenAlex
W2117280119
Cited by
375
References
6
FWCI
30.52
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: Modulation Techniques for Communication via Diffusion in Nanonetworks. https://app.cochat.ai/papers/10.1109/icc.2011.5962989
The paper
Kuran, M. S., Yilmaz, H. B., Tugcu, T., & Akyildiz, I. F. (2011). Modulation Techniques for Communication via Diffusion in Nanonetworks. 2011 IEEE International Conference on Communications (ICC). https://doi.org/10.1109/icc.2011.5962989

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.