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Cited by 803

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Information-driven dynamic sensor collaboration

Feng Zhao, Jaewon Shin, Reich, J.·2002·IEEE Signal Processing Magazine

Abstract

This article overviews the information-driven approach to sensor collaboration in ad hoc sensor networks. The main idea is for a network to determine participants in a "sensor collaboration" by dynamically optimizing the information utility of data for a given cost of communication and computation. A definition of information utility is introduced, and several approximate measures of the information utility are developed for reasons of computational tractability. We illustrate the use of this approach using examples drawn from tracking applications.

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Metadata

Authors
Zhao, F., Shin, J., & Reich, J.
Venue
IEEE Signal Processing Magazine
Published
2002-03
Volume
19
Issue
2
Pages
61-72
ISSN
1053-5888 (ISSN-L)
OpenAlex
W2039728842
Cited by
803
References
8
FWCI
38.81
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Information-driven dynamic sensor collaboration. https://app.cochat.ai/papers/10.1109/79.985685
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Zhao, F., Shin, J., & Reich, J. (2002). Information-driven dynamic sensor collaboration. IEEE Signal Processing Magazine. https://doi.org/10.1109/79.985685

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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.