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IoT Capabilities Composition and Decomposition: A Systematic Review
Published
Author(s)
Edward Griffor, Khalid Halba, ahmed lbath, Anton Dahbura
Abstract
Internet of Things (IoT) capabilities are features or services produced by IoT devices. IoT capabilities composition brings existing capabilities together to create a novel service with added value. IoT Capabilities decomposition works the other way around, as it aims to decompose a complex service and reuse a subset of its capabilities to optimize resource usage or reduce costs. Numerous research efforts have tackled different aspects of capabilities composition and decomposition in IoT and cyber-physical systems (CPS). In this survey, existing research is leveraged to produce a comprehensive study and answer essential questions regarding composition and decomposition. The systematic literature review approach is adopted, where important questions were identified that, when answered, would provide the reader a better understanding of the problems related to this topic. A taxonomy was elaborated to identify key formal, technical, and quality of service (QoS) aspects, some of which had previously received little or no attention. A meaningful selection process was adopted where surveys and the oldest publications were excluded from the surveyed.aspects, as a result, the produced survey achieves the following goals: i) defining IoT capabilities and composition/decomposition functions in the context of a layered IoT architecture; ii) providing an up-to-date IoT capabilities composition and decomposition survey that covers the formal, technical, and QoS aspects, including novel ones such as artificial intelligence, machine learning, and blockchain; and iii) answering important questions based on the systematic literature review approach to provide the interested reader a better understanding of the topic.
Griffor, E.
, Halba, K.
, Lbath, A.
and DAHBURA, A.
(2023),
IoT Capabilities Composition and Decomposition: A Systematic Review, IEEE Access Journal, [online], https://doi.org/10.1109/ACCESS.2023.3260182, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=933005
(Accessed November 2, 2024)