The DOI matches its Crossref record.
IrisNet: An architecture for a worldwide sensor web
Abstract
We discuss about the IrisNet (Internet-scale resource-intensive sensor network services) project at Intel Research, we design an architecture and build a system that enable easy deployment of such wide-area sensing services. We aim to provide the missing software components for realizing a worldwide sensor Web. Wide-area architectures for pervasive sensing enable a new generation of powerful distributed sensing services. A worldwide sensor Web, in which users can query, as a single unit, vast quantities of data from thousands or even millions of widely distributed, heterogeneous sensors. Internet-connected PCs that source sensor feeds and cooperate to answer users' queries will form the global sensor Web's backbone. Developers of wide-area sensing services (service authors) deploy the services on this distributed infrastructure.
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
Cited by
MQTT-S — A publish/subscribe protocol for Wireless Sensor Networks
Hunkeler, U., Truong, H. L., & Stanford-Clark, A. (2008) · 2008 3rd International Conference on Communication Systems Software and Middleware and Workshops (COMSWARE '08) · doi:10.1109/comswa.2008.4554519 · Cited by 813
Infrastructure for Data Processing in Large-Scale Interconnected Sensor Networks
Aberer, K., Hauswirth, M., & Salehi, A. (2007) · 2007 International Conference on Mobile Data Management · doi:10.1109/mdm.2007.36 · Cited by 339
GENI - global environment for network innovations
Elliott, C. (2008) · 2008 33rd IEEE Conference on Local Computer Networks (LCN) · doi:10.1109/lcn.2008.4664143 · Cited by 278
Privacy in Internet of Things: From Principles to Technologies
Li, C., & Palanisamy, B. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2864168 · Cited by 130
Metadata
- Authors
- Gibbons, P. B., Karp, B., Ke, Y., Nath, S., & Seshan, S.
- Venue
- IEEE Pervasive Computing
- Published
- 2003-10
- Volume
- 2
- Issue
- 4
- Pages
- 22-33
- ISSN
- 1536-1268 (ISSN-L)
- OpenAlex
- W1997802075
- Cited by
- 452
- References
- 0
- FWCI
- 33.61
- Type
- journal article
- 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: IrisNet: An architecture for a worldwide sensor web. https://app.cochat.ai/papers/10.1109/mprv.2003.1251166
- The paper
- Gibbons, P. B., Karp, B., Ke, Y., Nath, S., & Seshan, S. (2003). IrisNet: An architecture for a worldwide sensor web. IEEE Pervasive Computing. https://doi.org/10.1109/mprv.2003.1251166
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.