The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Energy Harvesting for Autonomous Wireless Sensor Networks
Abstract
Wireless sensor nodes (WSNs) are employed today in many different application areas, ranging from health and lifestyle to automotive, smart building, predictive maintenance (e.g., of machines and infrastructure), and active RFID tags. Currently these devices have limited lifetimes, however, since they require significant operating power. The typical power requirements of some current portable devices, including a body sensor network, are shown in Figure 1.
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
Cites
Energy Harvesting From Human and Machine Motion for Wireless Electronic Devices
Mitcheson, P. D., Yeatman, E. M., Rao, G. K., Holmes, A. S., & Green, T. C. (2008) · Proceedings of the IEEE · doi:10.1109/jproc.2008.927494 · Cited by 1,888
Cited by
Ambient RF Energy Harvesting in Urban and Semi-Urban Environments
Pinuela, M., Mitcheson, P. D., & Lucyszyn, S. (2013) · IEEE Transactions on Microwave Theory and Techniques · doi:10.1109/tmtt.2013.2262687 · Cited by 926
Advances in Energy Harvesting Communications: Past, Present, and Future Challenges
Ku, M.-L., Li, W., Chen, Y., & Ray Liu, K. J. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2497324 · Cited by 606
Emerging Indoor Photovoltaic Technologies for Sustainable Internet of Things
Pecunia, V., Occhipinti, L. G., & Hoye, R. L. Z. (2021) · Advanced Energy Materials · doi:10.1002/aenm.202100698 · Cited by 322
Energy Harvesting towards Self-Powered IoT Devices
Elahi, H., Munir, K., Eugeni, M., Atek, S., & Gaudenzi, P. (2020) · Energies · doi:10.3390/en13215528 · Cited by 267
Body Area Networks for Ubiquitous Healthcare Applications: Opportunities and Challenges
Jovanov, E., & Milenkovic, A. (2011) · Journal of Medical Systems · doi:10.1007/s10916-011-9661-x · Cited by 183
Metadata
- Authors
- Vullers, R., Schaijk, R., Visser, H., Penders, J., & Hoof, C.
- Venue
- IEEE Solid-State Circuits Magazine
- Published
- 2010
- Volume
- 2
- Issue
- 2
- Pages
- 29-38
- ISSN
- 1943-0582 (ISSN-L)
- OpenAlex
- W2125488136
- Cited by
- 625
- References
- 1
- FWCI
- 55.97
- 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: Energy Harvesting for Autonomous Wireless Sensor Networks. https://app.cochat.ai/papers/10.1109/mssc.2010.936667
- The paper
- Vullers, R., Schaijk, R., Visser, H., Penders, J., & Hoof, C. (2010). Energy Harvesting for Autonomous Wireless Sensor Networks. IEEE Solid-State Circuits Magazine. https://doi.org/10.1109/mssc.2010.936667
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.
