Abstract

Technologies, such as Wireless Sensor Networks (WSN) and Internet of Things (IoT), have captured the imagination of researchers, businesses, and general public, due to breakthroughs in embedded system development, sensing technologies, and ubiquitous connectivity in recent years. That resulted in the emergence of an enormous, difficult-to-navigate body of work related to WSN and IoT. In an ongoing research effort to highlight trends and developments in these technologies and to see whether they are actually deployed rather than subjects of theoretical research with presumed potential use cases, we gathered and codified a dataset of scientific publications from a five-year period from 2013 to 2017 involving actual sensor network deployments, which will serve as a basis for future in-depth analysis of the field. In the first iteration, 15,010 potentially relevant articles were identified in SCOPUS and Web of Science databases; after two iterations, 3059 actual sensor network deployments were extracted from those articles and classified in a consistent way according to different categories, such as type of nodes, field of application, communication types, etc. We publish the resulting dataset with the intent that its further analysis may identify prospective research fields and future trends in WSN and IoT.

Highlights

  • As we are heading into the 21st century, digitalization trends in transportation [1,2], in-house logistics [3], education [4,5], agriculture [6], banking [7,8], and other fields are providing new and engaging ways for technology to improve our daily lives

  • This naturally leads to the emergence of applications of Wireless Sensor Networks (WSN) and Internet of Things (IoT) in large number of different domains

  • The majority of researchers still use simulation tools to validate their theories [10] rather than deploy actual devices; as a consequence, it is unclear to what extent the vast majority of the available WSN/IoT devices are used instead of theorized as being applicable and what design choices drive the selection of devices

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Summary

Summary

As we are heading into the 21st century, digitalization trends in transportation [1,2], in-house logistics [3], education [4,5], agriculture [6], banking [7,8], and other fields are providing new and engaging ways for technology to improve our daily lives. This naturally leads to the emergence of applications of Wireless Sensor Networks (WSN) and Internet of Things (IoT) in large number of different domains. The rest of the document is structured, as follows—Section 2 describes the data set as such, Section 3 discusses methods that are used in acquiring the data as well as data validation and quality, and Section 4 contains some practical data usage notes

Data Description
Methods
Candidate Article Acquisition
First Screening Iteration-Exclusion
Data Codification and Extraction
Data Quality
Findings
User Notes
Full Text
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