The DOI matches its Crossref record; 70 of the 70 references it cites were found in a registry or an index.
How Can Heterogeneous Internet of Things Build Our Future: A Survey
Abstract
Heterogeneous Internet of Things (HetIoT) is an emerging research field that has strong potential to transform both our understanding of fundamental computer science principles and our future living. HetIoT is being employed in increasing number of areas, such as smart home, smart city, intelligent transportation, environmental monitoring, security systems, and advanced manufacturing. Therefore, relaying on strong application fields, HetIoT will be filled in our life and provide a variety of convenient services for our future. The network architectures of IoT are intrinsically heterogeneous, including wireless sensor network, wireless fidelity network, wireless mesh network, mobile communication network, and vehicular network. In each network unit, smart devices utilize appropriate communication methods to integrate digital information and physical objects, which provide users with new exciting applications and services. However, the complexity of application requirements, the heterogeneity of network architectures and communication technologies impose many challenges in developing robust HetIoT applications. This paper proposes a four-layer HetIoT architecture consisting of sensing, networking, cloud computing, and applications. Then, the state of the art in HetIoT research and applications have been discussed. This paper also suggests several potential solutions to address the challenges facing future HetIoT, including self-organizing, big data transmission, privacy protection, data integration and processing in large-scale HetIoT.
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Citations
Cites
Internet of Things in industries: A survey
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Context Aware Computing for The Internet of Things: A Survey
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“Besides, researchers investigate the new technology and issues about IoT that are data fusion and service-oriented framework [40], [41], context awareness techniques [45], [46], cloud computing [43], [44], industrial applications [29], [30], etc.”
BackgroundIntegration of Cloud computing and Internet of Things: A survey
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A survey of intrusion detection in Internet of Things
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Cited by
A survey on deep learning for multimodal data fusion
Gao, J., Li, P., Chen, Z., & Zhang, J. (2020) · Neural Computation · doi:10.1162/neco_a_01273 · Cited by 821
Blockchain's adoption in iot: the challenges, and a way forward
Makhdoom, I., Abolhasan, M., Abbas, H., & Ni, W. (2019) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2018.10.019 · Cited by 501
A Lite Distributed Semantic Communication System for Internet of Things
Xie, H., & Qin, Z. (2021) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2020.3036968 · Cited by 497
Upadhyay, D., & Sampalli, S. (2020) · Computers & Security · doi:10.1016/j.cose.2019.101666 · Cited by 242
A New Threat Intelligence Scheme for Safeguarding Industry 4.0 Systems
Moustafa, N., Adi, E., Turnbull, B., & Hu, J. (2018) · IEEE Access · doi:10.1109/access.2018.2844794 · Cited by 153
Metadata
- Authors
- Qiu, T., Chen, N., Li, K., Atiquzzaman, M., & Zhao, W.
- Venue
- IEEE Communications Surveys & Tutorials
- Published
- 2018
- Volume
- 20
- Issue
- 3
- Pages
- 2011-2027
- ISSN
- 1553-877X (ISSN-L)
- 2373-745X
- OpenAlex
- W2793241364
- Cited by
- 444
- References
- 70
- FWCI
- 38.12
- Type
- journal article
- Language
- en
- Open access
- closed
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- Qiu, T., Chen, N., Li, K., Atiquzzaman, M., & Zhao, W. (2018). How Can Heterogeneous Internet of Things Build Our Future: A Survey. IEEE Communications Surveys & Tutorials. https://doi.org/10.1109/comst.2018.2803740
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.