Data Collection in Sensor Cloud: Recent Advances, Taxonomy, Use Cases and Open Challenges

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.