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Cited by 681

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

IoT Middleware: A Survey on Issues and Enabling technologies

Ngu, Anne H. H., Gutierrez, Mario, Metsis, Vangelis, Nepal, Surya, Sheng, Michael Z.·2016·IEEE Internet of Things Journal

Abstract

The Internet of Things (IoT) provides the ability for humans and computers to learn and interact from billions of things that include sensors, actuators, services, and other Internet-connected objects. The realization of IoT systems will enable seamless integration of the cyber world with our physical world and will fundamentally change and empower human interaction with the world. A key technology in the realization of IoT systems is middleware, which is usually described as a software system designed to be the intermediary between IoT devices and applications. In this paper, we first motivate the need for an IoT middleware via an IoT application designed for real-time prediction of blood alcohol content using smartwatch sensor data. This is then followed by a survey on the capabilities of the existing IoT middleware. We further conduct a thorough analysis of the challenges and the enabling technologies in developing an IoT middleware that embraces the heterogeneity of IoT devices and also supports the essential ingredients of composition, adaptability, and security aspects of an IoT system.

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Metadata

Authors
Ngu, A. H. H., Gutierrez, M., Metsis, V., Nepal, S., & Sheng, M. Z.
Venue
IEEE Internet of Things Journal
Published
2016
Pages
1-1
ISSN
2327-4662 (ISSN-L)
OpenAlex
W2529113503
Cited by
681
References
5
FWCI
76.75
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: IoT Middleware: A Survey on Issues and Enabling technologies. https://app.cochat.ai/papers/10.1109/jiot.2016.2615180
The paper
Ngu, A. H. H., Gutierrez, M., Metsis, V., Nepal, S., & Sheng, M. Z. (2016). IoT Middleware: A Survey on Issues and Enabling technologies. IEEE Internet of Things Journal. https://doi.org/10.1109/jiot.2016.2615180

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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.