16,380 research outputs found
Context Aware Computing for The Internet of Things: A Survey
As we are moving towards the Internet of Things (IoT), the number of sensors
deployed around the world is growing at a rapid pace. Market research has shown
a significant growth of sensor deployments over the past decade and has
predicted a significant increment of the growth rate in the future. These
sensors continuously generate enormous amounts of data. However, in order to
add value to raw sensor data we need to understand it. Collection, modelling,
reasoning, and distribution of context in relation to sensor data plays
critical role in this challenge. Context-aware computing has proven to be
successful in understanding sensor data. In this paper, we survey context
awareness from an IoT perspective. We present the necessary background by
introducing the IoT paradigm and context-aware fundamentals at the beginning.
Then we provide an in-depth analysis of context life cycle. We evaluate a
subset of projects (50) which represent the majority of research and commercial
solutions proposed in the field of context-aware computing conducted over the
last decade (2001-2011) based on our own taxonomy. Finally, based on our
evaluation, we highlight the lessons to be learnt from the past and some
possible directions for future research. The survey addresses a broad range of
techniques, methods, models, functionalities, systems, applications, and
middleware solutions related to context awareness and IoT. Our goal is not only
to analyse, compare and consolidate past research work but also to appreciate
their findings and discuss their applicability towards the IoT.Comment: IEEE Communications Surveys & Tutorials Journal, 201
Bibliometrics, reference enhanced databases and research evaluation
This study presents the panoramic view of the described issues related to coverage, services and bibliometrics for Research Evaluation (RE) purposes by three reference enhanced databases. The researchers’ viewpoint is based on the relevant literature and data accessed from most preferred citation sources: Web of Science, Scopus and Google Scholar.The study seeks the worldview challenges, highlights and theorizes the core issues for those regions and disciplines that have more challenges and fewer opportunities in getting publishing, citing and cited by. It discusses the new insights and directs the stakeholders to explore other possible sources, metrics and evaluation techniques for RE
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