The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Angle of Arrival Localization for Wireless Sensor Networks
Abstract
Awareness of the physical location for each node is required by many wireless sensor network applications. The discovery of the position can be realized utilizing range measurements including received signal strength, time of arrival, time difference of arrival and angle of arrival. In this paper, we focus on localization techniques based on angle of arrival information between neighbor nodes. We propose a new localization and orientation scheme that considers beacon information multiple hops away. The scheme is derived under the assumption of noisy angle measurements. We show that the proposed method achieves very good accuracy and precision despite inaccurate angle measurements and a small number of beacons
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
Cites
RADAR: an in-building RF-based user location and tracking system
Bahl, P., & Padmanabhan, V. N. (2002) · Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064) · doi:10.1109/infcom.2000.832252 · Cited by 8,380
Cited by
Improving Indoor Localization Using Bluetooth Low Energy Beacons
Kriz, P., Maly, F., & Kozel, T. (2016) · Mobile Information Systems · doi:10.1155/2016/2083094 · Cited by 256
On frame and orientation localization for relative sensing networks
Piovan, G., Shames, I., Fidan, B., Bullo, F., & Anderson, B. D. O. (2013) · Automatica · doi:10.1016/j.automatica.2012.09.014 · Cited by 105
(2012) · doi:10.1109/jsen.2012.2198054 · Cited by 37
Metadata
- Authors
- Peng, R., & Sichitiu, M. L.
- Venue
- 2006 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks
- Publisher
- IEEE
- Published
- 2006
- Pages
- 374-382
- OpenAlex
- W2549315536
- Cited by
- 636
- References
- 1
- FWCI
- 32.37
- 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: Angle of Arrival Localization for Wireless Sensor Networks. https://app.cochat.ai/papers/10.1109/sahcn.2006.288442
- The paper
- Peng, R., & Sichitiu, M. L. (2006). Angle of Arrival Localization for Wireless Sensor Networks. 2006 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks. https://doi.org/10.1109/sahcn.2006.288442
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.
