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Cited by 2,108

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Ad hoc positioning system (APS) using AOA

Open access
Niculescu, D., Badri Nath·2004·IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428)

Abstract

Position information of individual nodes is useful in implementing functions such as routing and querying in ad-hoc networks. Deriving position information by using the capability of the nodes to measure time of arrival (TOA), time difference of arrival (TDOA), angle of arrival (AOA) and signal strength have been used to localize nodes relative to a frame of reference. The nodes in an ad-hoc network can have multiple capabilities and exploiting one or more of the capabilities can improve the quality of positioning. In this paper, we show how AOA capability of the nodes can be used to derive position information. We propose a method for all nodes to determine their orientation and position in an ad-hoc network where only a fraction of the nodes have positioning capabilities, under the assumption that each node has the AOA capability.

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Metadata

Authors
Niculescu, D., & Nath, B.
Venue
IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428)
Publisher
IEEE
Published
2004-03-01
Volume
3
Pages
1734-1743
OpenAlex
W2130137998
Cited by
2,108
References
12
FWCI
176.83
Type
conference paper
Language
en
Open access
green

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CoChat. (2026). Citation check: Ad hoc positioning system (APS) using AOA. https://app.cochat.ai/papers/10.1109/infcom.2003.1209196
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Niculescu, D., & Nath, B. (2004). Ad hoc positioning system (APS) using AOA. IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428). https://doi.org/10.1109/infcom.2003.1209196

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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.