The DOI matches its Crossref record; 136 of the 136 references it cites were found in a registry or an index.
Fog/Edge Computing-Based IoT (FECIoT): Architecture, Applications, and Research Issues
Abstract
The Internet-of-Things (IoT) is the future of the Internet, where everything will be connected. Studies have revealed that fog/edge computing-based services will play a major role in extending the cloud by carrying out intermediary services at the edge of the network. Fog/edge computing-based IoT's (FECIoT) distributed architecture enhances service provisioning along the Cloud-to-Things continuum, thereby making it suitable for mission-critical applications. Furthermore, the proximity of fog/edge devices to where the data is produced makes it stand-out in terms of resource allocation, service delivery, and privacy. From the business perspective, FECIoT will lead to a boom and spring up of small-to-medium-sized enterprises, thereby encouraging inclusion for all. To this end, we present a comprehensive survey on state-of-the-art IoT literature over the period 2008-2018 and propose the FECIoT framework which covers the enabling technologies, services, and open research issues. A tutorial approach is employed, progressing from basic to more advanced concepts within the IoT domain. Lastly, we show how FECIoT can be deployed in real-life cyber-physical systems, such as the intelligent transportation system, smart grid, smart health-care, smart homes, and smart environment.
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 Internet of Things: A survey
Atzori, L., Iera, A., & Morabito, G. (2010) · Computer Networks · doi:10.1016/j.comnet.2010.05.010 · Cited by 15,613
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
Edge computing: Vision and challenges
Shi, W., Cao, J., Zhang, Q., Li, Y., & Xu, L. (2016) · IEEE Internet of Things Journal · doi:10.1109/jiot.2016.2579198 · Cited by 8,733
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
Fog computing and its role in the internet of things
Bonomi, F., Milito, R., Zhu, J., & Addepalli, S. (2012) · Proceedings of the first edition of the MCC workshop on Mobile cloud computing · doi:10.1145/2342509.2342513 · Cited by 6,244
Internet of things: Vision, applications and research challenges
Miorandi, D., Sicari, S., De Pellegrini, F., & Chlamtac, I. (2012) · Ad Hoc Networks · doi:10.1016/j.adhoc.2012.02.016 · Cited by 3,578
Cyber Physical Systems: Design Challenges
Lee, E. A. (2008) · 2008 11th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC) · doi:10.1109/isorc.2008.25 · Cited by 3,525
Lin, J., Yu, W., Zhang, N., Yang, X., Zhang, H., & Zhao, W. (2017) · IEEE Internet of Things Journal · doi:10.1109/jiot.2017.2683200 · Cited by 2,793
(2007) · Springer eBooks · doi:10.1007/978-0-387-71107-2 · Cited by 2,687
Fog and IoT: An Overview of Research Opportunities
Chiang, M., & Zhang, T. (2016) · IEEE Internet of Things Journal · doi:10.1109/jiot.2016.2584538 · Cited by 2,362
Research works printed but not linked: 46
- 10.1109/ICEBE.2017.17 · doi:10.1109/icebe.2017.17
- 10.1109/MCOM.2010.5394030 · doi:10.1109/mcom.2010.5394030
- reijers, 2013, Design of an intelligent middleware for flexible sensor configuration in M2M systems, Proc 2nd Int Conf Sensor Netw (SENSORNETS), 1
- 10.1109/ISCE.2016.7797388 · doi:10.1109/isce.2016.7797388
- 10.1109/ICSensT.2015.7438456 · doi:10.1109/icsenst.2015.7438456
- xian, 2008, Comparison of OMNeT++ and other simulator for WSN simulation, Proc IEEE Conf Ind Electron Appl (ICIEA), 1439
- 10.1109/INDIN.2013.6622904 · doi:10.1109/indin.2013.6622904
- 2017, OpenFog Reference Architecture for Fog Computing
- 10.1109/ASPDAC.2012.6164948 · doi:10.1109/aspdac.2012.6164948
- 10.1109/SEsCPS.2015.8 · doi:10.1109/sescps.2015.8
- 10.1109/GreenCom-iThings-CPSCom.2013.204 · doi:10.1109/greencom-ithings-cpscom.2013.204
- 10.1109/I-SMAC.2017.8058235 · doi:10.1109/i-smac.2017.8058235
- 10.1109/EIT.2016.7535338 · doi:10.1109/eit.2016.7535338
- chen, 2017, HCOS: A unified model and architecture for cloud operating system, ZTE Commun Mag, 15, 23
- 10.1109/TSG.2014.2324022 · doi:10.1109/tsg.2014.2324022
- 10.1109/ISIEA.2009.5356360 · doi:10.1109/isiea.2009.5356360
- 10.1109/MC.2016.137 · doi:10.1109/mc.2016.137
- 10.1109/ANTS.2014.7057255 · doi:10.1109/ants.2014.7057255
- 10.1109/RFID.2015.7113088 · doi:10.1109/rfid.2015.7113088
- 10.1007/978-1-4419-6166-2_2 · doi:10.1007/978-1-4419-6166-2_2
- 10.1007/11853565_29 · doi:10.1007/11853565_29
- 10.1109/AUTEST.2007.4374241 · doi:10.1109/autest.2007.4374241
- 10.1109/SBESC.2013.37 · doi:10.1109/sbesc.2013.37
- 10.1109/EBISS.2010.5473641 · doi:10.1109/ebiss.2010.5473641
- ?wiatek, 2012, Service composition in knowledge-based SOA systems, New Gener Comput, 30, 165, 10.1007/s00354-012-0204-x · doi:10.1007/s00354-012-0204-x
- 10.1109/WAINA.2013.261 · doi:10.1109/waina.2013.261
- rykowski, 2014, Comparison of architectures for service management in IoT and sensor networks by means of OSGi and REST services, Proc Fed Conf Comput Sci Inf Syst, 1207
- 10.1109/ICE.2014.6871591 · doi:10.1109/ice.2014.6871591
- 10.1109/COMPSAC.2017.286 · doi:10.1109/compsac.2017.286
- zhao, 2015, NS3-based simulation system in heterogeneous wireless network, Proc 11th Int Conf Wireless Commun Netw Mobile Comput (WiCOM), 1
- 10.1109/ICIT.2016.017 · doi:10.1109/icit.2016.017
- 10.1109/ICICI-BME.2011.6108602 · doi:10.1109/icici-bme.2011.6108602
- 10.1109/PERCOMW.2017.7917612 · doi:10.1109/percomw.2017.7917612
- 10.1109/ECS.2015.7124960 · doi:10.1109/ecs.2015.7124960
- 10.1109/JIOT.2018.2824348 · doi:10.1109/jiot.2018.2824348
- 10.1109/CCECE.2015.7129203 · doi:10.1109/ccece.2015.7129203
- 10.1109/NFC.2013.6482445 · doi:10.1109/nfc.2013.6482445
- sung, 2016, Applications of wireless sensor network for monitoring system based on IoT, Proc IEEE Int Conf Syst Man Cybern (SMC), 613
- olsson, 2014, 6LoWPAN demystified
- 2015, LoRaWAN Specification
- 10.1109/4236.895146 · doi:10.1109/4236.895146
- 10.1109/IDAACS.2015.7341417 · doi:10.1109/idaacs.2015.7341417
- 10.1109/MCOM.2017.1600534 · doi:10.1109/mcom.2017.1600534
- 2011, RPL The IP Routing Protocol Designed for Low Power and Lossy Networks
- 10.1109/ICC.2017.7997158 · doi:10.1109/icc.2017.7997158
- 10.1109/MIXDES.2016.7529724 · doi:10.1109/mixdes.2016.7529724
Cited by
Edge-computing-driven Internet of Things: A Survey
Kong, L., Tan, J., Huang, J., Chen, G., Wang, S., Jin, X., Zeng, P., Khan, M., & Das, S. K. (2023) · ACM Computing Surveys · doi:10.1145/3555308 · Cited by 396
Privacy-preserving security of IoT networks: A comparative analysis of methods and applications
Wakili, A., & Bakkali, S. (2025) · Cyber Security and Applications · doi:10.1016/j.csa.2025.100084 · Cited by 30
Gill, S. S. (2022) · EAI/Springer Innovations in Communication and Computing · doi:10.1007/978-3-030-74402-1_13 · Cited by 28
Metadata
- Authors
- Omoniwa, B., Hussain, R., Javed, M. A., Bouk, S. H., & Malik, S. A.
- Venue
- IEEE Internet of Things Journal
- Published
- 2019-06
- Volume
- 6
- Issue
- 3
- Pages
- 4118-4149
- ISSN
- 2327-4662 (ISSN-L)
- 2372-2541
- OpenAlex
- W2896912472
- Cited by
- 284
- References
- 136
- FWCI
- 17.74
- 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: Fog/Edge Computing-Based IoT (FECIoT): Architecture, Applications, and Research Issues. https://app.cochat.ai/papers/10.1109/jiot.2018.2875544
- The paper
- Omoniwa, B., Hussain, R., Javed, M. A., Bouk, S. H., & Malik, S. A. (2019). Fog/Edge Computing-Based IoT (FECIoT): Architecture, Applications, and Research Issues. IEEE Internet of Things Journal. https://doi.org/10.1109/jiot.2018.2875544
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.
