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Cited by 258

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Mobiscopes for Human Spaces

Abdelzaher, Tarek, Anokwa, Yaw, Boda, Peter, Burke, Jeff, Estrin, Deborah, Guibas, Leonidas, Kansal, Aman, Madden, Samuel, Reich, Jim·2007·IEEE Pervasive Computing

Abstract

Mobiscopes extend the traditional sensor network model, introducing challenges in data management and integrity, privacy, and network system design. Researchers need an architecture and general methodology for designing future mobiscopes. A mobiscope is a federation of distributed mobile sensors into a taskable sensing system that achieves high-density sampling coverage over a wide area through mobility.

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Metadata

Authors
Abdelzaher, T., Anokwa, Y., Boda, P., Burke, J., Estrin, D., Guibas, L., Kansal, A., Madden, S., & Reich, J.
Venue
IEEE Pervasive Computing
Published
2007-04
Volume
6
Issue
2
Pages
20-29
ISSN
1536-1268 (ISSN-L)
OpenAlex
W1525533660
Cited by
258
References
0
FWCI
87.03
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Mobiscopes for Human Spaces. https://app.cochat.ai/papers/10.1109/mprv.2007.38
The paper
Abdelzaher, T., Anokwa, Y., Boda, P., Burke, J., Estrin, D., Guibas, L., Kansal, A., Madden, S., & Reich, J. (2007). Mobiscopes for Human Spaces. IEEE Pervasive Computing. https://doi.org/10.1109/mprv.2007.38

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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.