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IoT Middleware: A Survey on Issues and Enabling technologies

IEEE Internet of Things Journal · 2016 · pp. 1–1
Anne H. H. NguMario GutiérrezVangelis Metsis‪Surya Nepal‬Quan Z. Sheng

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.

IoT and Edge/Fog ComputingContext-Aware Activity Recognition SystemsData Stream Mining TechniquesMiddleware (distributed applications)Computer scienceInternet of ThingsAdaptabilityRealization (probability)Message oriented middlewareKey (lock)Computer securityEmbedded systemSoftware
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References
6LoWPAN: The Wireless Embedded Internet
Bulletin of Miscellaneous Information (Royal Gardens Kew) · 2009 · 686 citations
Privacy-preserving data publishing
ACM Computing Surveys · 2010 · 1,628 citations
Middleware for Internet of Things: A Survey
IEEE Internet of Things Journal · 2015 · 993 citations
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