Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Classification of actual sensor network deployments in research studies from 2013 to 2017

Krisjanis Nesenbergs
* ORCID logo ,
Janis Judvaitis
,
Artis Mednis
,
Valters Abolins
,
Ansis Skadins
,
Didzis Lapsa
,
Raimonds Rava
,
Maksims Ivanovs
Version 1 : Received: 17 August 2020 / Approved: 21 August 2020 / Online: 21 August 2020 (11:03:52 CEST)

A peer-reviewed article of this Preprint also exists.

Judvaitis, J.; Mednis, A.; Abolins, V.; Skadins, A.; Lapsa, D.; Rava, R.; Ivanovs, M.; Nesenbergs, K. Classification of Actual Sensor Network Deployments in Research Studies from 2013 to 2017. Data 2020, 5, 93. Judvaitis, J.; Mednis, A.; Abolins, V.; Skadins, A.; Lapsa, D.; Rava, R.; Ivanovs, M.; Nesenbergs, K. Classification of Actual Sensor Network Deployments in Research Studies from 2013 to 2017. Data 2020, 5, 93.

Abstract

Due to breakthroughs in embedded system development, sensing technologies, and ubiquitous connectivity in recent years, technologies such as Wireless Sensor Networks (WSN) and Internet of Things (IoT) have captured the imagination of researchers, businesses, and general public. That resulted in the emergence of an enormous, difficult-to-navigate body of work related to WSN and IoT. 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 5-year period from 2013 to 2017 involving actual sensor network deployments. In the first iteration, 15010 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.

Keywords

WSN; IoT; Deployment; Review

Subject

Engineering, Electrical and Electronic Engineering

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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