J. Judvaitis, K. Nesebergs, A. Mednis, V. Abolins, A. Skadins, D. Lapsa, R. Rava, M. Ivanovs. 2020. Classification of actual sensor network deployments in research studies from 2013 to 2017. Data, 5(4), 1 - 19 pp. https://doi.org/10.3390/data5040093

Bibtex citāts:
@article{9658_2020,
author = {J. Judvaitis and K. Nesebergs and A. Mednis and V. Abolins and A. Skadins and D. Lapsa and R. Rava and M. Ivanovs},
title = {Classification of actual sensor network deployments in research studies from 2013 to 2017},
journal = {Data},
volume = {5},
issue = {4},
pages = {1 - 19},
url = {https://doi.org/10.3390/data5040093},
year = {2020}
}

Anotācija: 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. Dataset: https://doi.org/10.5281/zenodo.4048214 Dataset License: CC0. © 2020 by the authors. Licensee MDPI, Basel, Switzerland.

Pilnais teksts: Classification of Actual Sensor Network Deployments in Research Studies from 2013 to 2017

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