The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Survey of platforms for massive IoT
Abstract
Internet of things (IoT) becomes a prominent technology in our world. It is enabling the connection between the objects (the “things”) and the backend systems via the Internet. Everyday objects can become connected and smart. It has been adopted in different areas and applications such as smart cities, smart agriculture, smart healthcare, smart manufacturing, and others. Moreover, IoT platforms are currently growing up in the market. Each platform provides valuable and specific services and features. This paper presents a survey on IoT platforms, discussing their architectures and fundamentals of IoT building elements and communication protocols between them. This paper aims to help the reader choose a suitable and adequate IoT platform for own demands in the huge number and variety of platforms available. This survey provides a comprehensive view of the components and features of the state-of-the-art IoT platforms.
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: A Survey on Enabling Technologies, Protocols, and Applications
Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2444095 · Cited by 8,630
Data Mining for Internet of Things: A Survey
Tsai, C.-W., Lai, C.-F., Chiang, M.-C., & Yang, L. T. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/surv.2013.103013.00206 · Cited by 620 · cited 1×
“A general survey on M2M communication protocols can describe in [19].”
Background
Cited by
RETRACTED ARTICLE: A Review and State of Art of Internet of Things (IoT)
Laghari, A. A., Wu, K., Laghari, R. A., Ali, M., & Khan, A. A. (2022) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-021-09622-6 · Cited by 386
Retracted
Metadata
- Authors
- Hejazi, H., Rajab, H., Cinkler, T., & Lengyel, L.
- Venue
- 2018 IEEE International Conference on Future IoT Technologies (Future IoT)
- Publisher
- IEEE
- Published
- 2018-01
- Pages
- 1-8
- OpenAlex
- W2794608538
- Cited by
- 173
- References
- 2
- FWCI
- 19.21
- Type
- conference paper
- 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: Survey of platforms for massive IoT. https://app.cochat.ai/papers/10.1109/fiot.2018.8325598
- The paper
- Hejazi, H., Rajab, H., Cinkler, T., & Lengyel, L. (2018). Survey of platforms for massive IoT. 2018 IEEE International Conference on Future IoT Technologies (Future IoT). https://doi.org/10.1109/fiot.2018.8325598
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.
