Data Collection in Sensor Cloud: Recent Advances, Taxonomy, Use Cases
and Open Challenges
Abstract
In recent years, Wireless Sensor Networks (WSNs) technologies are used
in many important
areas, including weather forecasting, security, environmental
monitoring, health care, and industry.
Nonetheless, due to the constraints of WSNs in terms of energy,
processing, connectivity, computation and
data integrity. An important issue in this research field is the
efficient management of the large number
of WSN’s data. Therefore, there is a need for strong and scalable
high-performance computing and large
storage infrastructure for real-time processing and storage of WSN’s
data. This article attempts to discuss
data collection methods in WSNs, sensor cloud, and IoT. Also, in this
context, a general overview of
WSNs and sensor cloud platforms, including their definitions,
architectures, and applications are given.
We investigate, highlight and report recent advances in data collection
technology by categorizing and
classifying data collection methods in WSNs, sensor cloud, IoT and
developing a taxonomy based on
these classifications. Furthermore, the analysis and synthesis of
existing works in this research domain
is highlighted. The identification of key research challenges for future
work and use case in this research
domain were also highlighted and discussed.
