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PicoRodio supports ad hoc ultra-low power wireless networking

Rabaey, J.M., Ammer, M.J., da Silva, J.L., Patel, D., Roundy, S.·2000·Computer

Abstract

Technology advances have made it conceivable to build and deploy dense wireless networks of heterogeneous nodes collecting and disseminating wide ranges of environmental data. Applications of such sensor and monitoring networks include smart homes equipped with security, identification, and personalization systems; intelligent assembly systems; warehouse inventory control; interactive learning toys; and disaster mitigation. The opportunities emerging from this technology give rise to new definitions of distributed computing and the user interface. Crucial to the success of these ubiquitous networks is the availability of small, lightweight, low-cost network elements, which the authors call PicoNodes. The authors present a configurable architecture that enables these opportunities to be efficiently realized in silicon. They believe that this energy-conscious system design and implementation methodology will lead to radio nodes that are two orders of magnitude more efficient than existing solutions.

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Metadata

Authors
Rabaey, J. M., Ammer, M. J., da Silva, J. L., Patel, D., & Roundy, S.
Venue
Computer
Published
2000-07
Volume
33
Issue
7
Pages
42-48
ISSN
0018-9162 (ISSN-L)
OpenAlex
W2100117806
Cited by
1,010
References
0
FWCI
53.18
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: PicoRodio supports ad hoc ultra-low power wireless networking. https://app.cochat.ai/papers/10.1109/2.869369
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Rabaey, J. M., Ammer, M. J., da Silva, J. L., Patel, D., & Roundy, S. (2000). PicoRodio supports ad hoc ultra-low power wireless networking. Computer. https://doi.org/10.1109/2.869369

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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.