The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
THE INTERNET OF THINGS: A SURVEY
Abstract
This paper addresses the Internet of Things. Main enabling factor of this promising paradigm is the integration of several technologies and communications solutions. Identification and tracking technologies, wired and wireless sensor and actuator networks, enhanced communication protocols (shared with the Next Generation Internet), and distributed intelligence for smart objects are just the most relevant. As one can easily imagine, any serious contribution to the advance of the Internet of Things must necessarily be the result of synergetic activities conducted in different fields of knowledge, such as telecommunications, informatics, electronics and social science. In such a complex scenario, this survey is directed to those who want to approach this complex discipline and contribute to its development. Different visions of this Internet of Things paradigm are reported and enabling technologies reviewed. What emerges is that still major issues shall be faced by the research community. The most relevant among them are addressed in details.
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Cites
Wireless sensor networks: a survey
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The Internet of Things: A survey
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Cited by
Leveraging the Internet of Things and Blockchain Technology in Supply Chain Management
Rejeb, A., Keogh, J. G., & Treiblmaier, H. (2019) · Future Internet · doi:10.3390/fi11070161 · Cited by 538
Hussain, B., Elmedany, W., & Sharif, M. S. (2022) · 2022 International Conference on Data Analytics for Business and Industry (ICDABI) · doi:10.1109/icdabi56818.2022.10041508 · Cited by 4
EdgeHive: Federated Learning on IoT Clusters in Unreliable Networks
Gupta, R. (2025) · 2025 13th International Conference on Intelligent Systems and Embedded Design (ISED) · doi:10.1109/ised67359.2025.11405287
Metadata
- Authors
- Atzori, L., Lera, A., & Morabito, G.
- Venue
- Tạp chí Nghiên cứu dân tộc
- Publisher
- Hoc Vien Dan Toc
- Published
- 2018-12-20
- Issue
- 24
- ISSN
- 0866-773X (ISSN-L)
- OpenAlex
- W2803865991
- Cited by
- 391
- References
- 27
- FWCI
- 3.58
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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