Data Collection in Studies on Internet of Things (IoT), Wireless Sensor
Networks (WSNs), and Sensor Cloud (SC): Similarities and Differences
Abstract
Data collection is an essential part of sensor devices, particularly in
such technologies Like Internet of Things (IoT), wireless sensor
networks (WSN), and sensor cloud (SC). In recent years, various
literature had been published in these research areas to propose
different models, architectures, and contributions in the domains. Due
to the importance of efficient data collection regarding reducing.
energy consumption, latency, network lifetime, and general cost, a
momentous literature volume has been published to facilitate data
collection. Hence, review studies have been conducted on data collection
in these domains in isolation. However, a lack of comprehensive review
collectively identifies and analyzes the differences and similarities
among the data collection proposals in IoT, WSN, and SC. The main
objective of this research is to conduct a comprehensive survey to
explore the current state, use cases, contributions, performance
measures, evaluation measures, and architecture in the IoT, WSN, and SC
research domains. The findings indicate that studies on data collection
in IoT, WSN, and SC are relatively consistent with stable output in the
last five years. Nine novel contributions are found with models,
algorithms, and frameworks being the most utilized by the selected
studies. In conclusion, key research challenges and future research
directions have been identified and discussed.