Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 386

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

Adaptive Routing for Intermittently Connected Mobile Ad Hoc Networks

Musolesi, M., Hailes, S., Mascolo, C.·2005·Sixth IEEE International Symposium on a World of Wireless Mobile and Multimedia Networks

Abstract

The vast majority of mobile ad hoc networking research makes a very large assumption - that communication can only take place between nodes that are simultaneously accessible within the same connected cloud (i.e., that communication is synchronous). In reality, this assumption is likely to be a poor one, particularly for sparsely or irregularly populated environments. We present the context-aware routing (CAR) algorithm. CAR is a novel approach to the provision of asynchronous communication in partially-connected mobile ad hoc networks, based on the intelligent placement of messages. We discuss the details of the algorithm, and then present simulation results demonstrating that it is possible for nodes to exploit context information in making local decisions that lead to good delivery ratios and latencies with small overheads.

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/wowmom.2005.17

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 386

Metadata

Authors
Musolesi, M., Hailes, S., & Mascolo, C.
Venue
Sixth IEEE International Symposium on a World of Wireless Mobile and Multimedia Networks
Publisher
IEEE
Published
2005-06-28
Pages
183-189
OpenAlex
W2137475084
Cited by
386
References
1
FWCI
22.90
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: Adaptive Routing for Intermittently Connected Mobile Ad Hoc Networks. https://app.cochat.ai/papers/10.1109/wowmom.2005.17
The paper
Musolesi, M., Hailes, S., & Mascolo, C. (2005). Adaptive Routing for Intermittently Connected Mobile Ad Hoc Networks. Sixth IEEE International Symposium on a World of Wireless Mobile and Multimedia Networks. https://doi.org/10.1109/wowmom.2005.17

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.