Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 410

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

MV routing and capacity building in disruption tolerant networks

Open access
Burns, B., Brock, O., Levine, B.N.·2005·Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies.

Abstract

Disruption-tolerant networks (DTNs) differ from other types of networks in that capacity is exclusively created by the movements of participants. This implies that understanding and influencing the participants' motions can have a significant impact on network performance. In this paper, we introduce the routing protocol MV, which learns structure in the movement patterns of network participants and uses it to enable informed message passing. We also propose the introduction of autonomous agents as additional participants in DTNs. These agents adapt their movements in response to variations in network capacity and demand. We use multi-objective control methods from robotics to generate motions capable of optimizing multiple network performance metrics simultaneously. We present experimental evidence that these strategies, individually and in conjunction, result in significant performance improvements in DTNs.

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/infcom.2005.1497909

Cites

1 of 1 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 1 references

Cited by

See all 410

Metadata

Authors
Burns, B., Brock, O., & Levine, B. N.
Venue
Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies.
Publisher
IEEE
Published
2005-08-24
Volume
1
Pages
398-408
OpenAlex
W2200366263
Cited by
410
References
1
FWCI
16.74
Type
conference paper
Language
en
Open access
green

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: MV routing and capacity building in disruption tolerant networks. https://app.cochat.ai/papers/10.1109/infcom.2005.1497909
The paper
Burns, B., Brock, O., & Levine, B. N. (2005). MV routing and capacity building in disruption tolerant networks. Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies. https://doi.org/10.1109/infcom.2005.1497909

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.