The DOI matches its Crossref record; 106 of the 106 references it cites were found in a registry or an index.
Energy Harvesting towards Self-Powered IoT Devices
Open accessAbstract
The internet of things (IoT) manages a large infrastructure of web-enabled smart devices, small devices that use embedded systems, such as processors, sensors, and communication hardware to collect, send, and elaborate on data acquired from their environment. Thus, from a practical point of view, such devices are composed of power-efficient storage, scalable, and lightweight nodes needing power and batteries to operate. From the above reason, it appears clear that energy harvesting plays an important role in increasing the efficiency and lifetime of IoT devices. Moreover, from acquiring energy by the surrounding operational environment, energy harvesting is important to make the IoT device network more sustainable from the environmental point of view. Different state-of-the-art energy harvesters based on mechanical, aeroelastic, wind, solar, radiofrequency, and pyroelectric mechanisms are discussed in this review article. To reduce the power consumption of the batteries, a vital role is played by power management integrated circuits (PMICs), which help to enhance the system’s life span. Moreover, PMICs from different manufacturers that provide power management to IoT devices have been discussed in this paper. Furthermore, the energy harvesting networks can expose themselves to prominent security issues putting the secrecy of the system to risk. These possible attacks are also discussed in this review article.
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
Internet of Things (IoT): A vision, architectural elements, and future directions
Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013) · Future Generation Computer Systems · doi:10.1016/j.future.2013.01.010 · Cited by 12,293
Piezoelectric Nanogenerators Based on Zinc Oxide Nanowire Arrays
Wang, Z. L., & Song, J. (2006) · Science · doi:10.1126/science.1124005 · Cited by 7,922
Progress in electrical energy storage system: a critical review
Chen, H., Cong, T. N., Yang, W., Tan, C., Li, Y., & Ding, Y. (2009) · Progress in Natural Science · doi:10.1016/j.pnsc.2008.07.014 · Cited by 3,746
The Internet of Things (IoT): Applications, investments, and challenges for enterprises
Lee, I., & Lee, K. (2015) · Business Horizons · doi:10.1016/j.bushor.2015.03.008 · Cited by 2,803
The Internet of Things: How the Next Evolution of the Internet Is Changing Everything
Evans, D. (2011) · Cited by 2,687
That ‘Internet of Things’ Thing
Ashton, K. J. (1999) · Medical Entomology and Zoology · Cited by 2,555
On Maxwell's displacement current for energy and sensors: the origin of nanogenerators
Wang, Z. L. (2017) · Materials Today · doi:10.1016/j.mattod.2016.12.001 · Cited by 2,083
Energy Harvesting Sensor Nodes: Survey and Implications
Sudevalayam, S., & Kulkarni, P. (2011) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2011.060710.00094 · Cited by 1,981
Relaying Protocols for Wireless Energy Harvesting and Information Processing
Nasir, A. A., Zhou, X., Durrani, S., & Kennedy, R. A. (2013) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2013.062413.122042 · Cited by 1,901
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
Powering a Microprocessor by Photosynthesis
Bombelli, P., Savanth, A., Scarampi, A., Rowden, S. J. L., Green, D. H., Erbe, A., Årstøl, E., Jevremovic, I., Hohmann-Marriott, M. F., Trasatti, S. P., et al. (2022) · Energy & Environmental Science · doi:10.1039/d2ee00233g · Cited by 78
Metadata
- Authors
- Elahi, H., Munir, K., Eugeni, M., Atek, S., & Gaudenzi, P.
- Venue
- Energies
- Publisher
- MDPI AG
- Published
- 2020-10-22
- Volume
- 13
- Issue
- 21
- Pages
- 5528
- ISSN
- 1996-1073 (ISSN-L)
- OpenAlex
- W3094029285
- Cited by
- 267
- References
- 106
- FWCI
- 16.41
- Type
- journal article
- Language
- en
- Open access
- gold
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 towards Self-Powered IoT Devices. https://app.cochat.ai/papers/10.3390/en13215528
- The paper
- Elahi, H., Munir, K., Eugeni, M., Atek, S., & Gaudenzi, P. (2020). Energy Harvesting towards Self-Powered IoT Devices. Energies. https://doi.org/10.3390/en13215528
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.