The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Mobile Phone Computing and the Internet of Things: A Survey
Abstract
As the Internet of Things (IoT) and the Web of Things (WoT) are becoming a reality, their interconnection with mobile phone computing is increasing. Mobile phone integrated sensors offer advanced services, which when combined with Web-enabled real-world devices located near the mobile user (e.g., body area networks, radio-frequency identification tags, energy monitors, environmental sensors, etc.), have the potential of enhancing the overall user knowledge, perception and experience, encouraging more informed choices and better decisions. This paper serves as a survey of the most significant work performed in the area of mobile phone computing combined with the IoT/WoT. A selection of over 100 papers is presented, which constitute the most significant work in the field up to date, categorizing these papers into ten different domains, according to the area of application (i.e., health, sports, gaming, transportation, and agriculture), the nature of interaction (i.e., participatory sensing, eco-feedback, actuation, and control), or the communicating actors involved (i.e., things and people). Open issues and research challenges are identified, analyzed and discussed.
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
The design of eco-feedback technology
Froehlich, J., Findlater, L., & Landay, J. (2010) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1753326.1753629 · Cited by 813
Saeb, S., Zhang, M., Karr, C. J., Schueller, S. M., Corden, M. E., Kording, K. P., & Mohr, D. C. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.4273 · Cited by 782
Social sensing for epidemiological behavior change
Madan, A., Cebrian, M., Lazer, D., & Pentland, A. (2010) · Proceedings of the 12th ACM international conference on Ubiquitous computing · doi:10.1145/1864349.1864394 · Cited by 219
Kassianos, A. P., Emery, J. D., Murchie, P., & Walter, F. M. (2015) · British Journal of Dermatology · doi:10.1111/bjd.13665 · Cited by 151
Cited by
Manogaran, G., Varatharajan, R., Lopez, D., Kumar, P. M., Sundarasekar, R., & Thota, C. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2017.10.045 · Cited by 512
Internet of Ships: A Survey on Architectures, Emerging Applications, and Challenges
Aslam, S., Michaelides, M. P., & Herodotou, H. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2020.2993411 · Cited by 261
Munoz-Organero, M., Ruiz-Blaquez, R., & Sánchez-Fernández, L. (2018) · Computers, Environment and Urban Systems · doi:10.1016/j.compenvurbsys.2017.09.005 · Cited by 83
IoT enabled intelligent bus transportation system
Geetha, S., & Cicilia, D. (2017) · 2017 2nd International Conference on Communication and Electronics Systems (ICCES) · doi:10.1109/cesys.2017.8321235 · Cited by 48
Sengupta, A., Gill, S. S., Das, A., & De, D. (2021) · Mobile Edge Computing · doi:10.1007/978-3-030-69893-5_17 · Cited by 22
Metadata
- Authors
- Kamilaris, A., & Pitsillides, A.
- Venue
- IEEE Internet of Things Journal
- Published
- 2016-12
- Volume
- 3
- Issue
- 6
- Pages
- 885-898
- ISSN
- 2327-4662 (ISSN-L)
- OpenAlex
- W2512120017
- Cited by
- 230
- References
- 4
- FWCI
- 24.00
- 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: Mobile Phone Computing and the Internet of Things: A Survey. https://app.cochat.ai/papers/10.1109/jiot.2016.2600569
- The paper
- Kamilaris, A., & Pitsillides, A. (2016). Mobile Phone Computing and the Internet of Things: A Survey. IEEE Internet of Things Journal. https://doi.org/10.1109/jiot.2016.2600569
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.