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

Janis Judvaitis, Artis Mednis, Valters Abolins, Ansis Skadins, Didzis Lapsa, Raimonds Rava, Maksims Ivanovs and Krisjanis Nesenbergs
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Janis Judvaitis: Institute of Electronics and Computer Science, 14 Dzerbenes St., LV-1006 Riga, Latvia
Artis Mednis: Institute of Electronics and Computer Science, 14 Dzerbenes St., LV-1006 Riga, Latvia
Valters Abolins: Institute of Electronics and Computer Science, 14 Dzerbenes St., LV-1006 Riga, Latvia
Ansis Skadins: Institute of Electronics and Computer Science, 14 Dzerbenes St., LV-1006 Riga, Latvia
Didzis Lapsa: Institute of Electronics and Computer Science, 14 Dzerbenes St., LV-1006 Riga, Latvia
Raimonds Rava: Institute of Electronics and Computer Science, 14 Dzerbenes St., LV-1006 Riga, Latvia
Maksims Ivanovs: Institute of Electronics and Computer Science, 14 Dzerbenes St., LV-1006 Riga, Latvia
Krisjanis Nesenbergs: Institute of Electronics and Computer Science, 14 Dzerbenes St., LV-1006 Riga, Latvia

Data, 2020, vol. 5, issue 4, 1-19

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.

Keywords: WSN; IoT; deployment; review (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2020
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