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TECHNOLOGY ASSESSMENT OF IOT WIRELESS NETWORK TECHNOLOGIES FOR THE TELECOMMUNICATION SECTOR

Maria Tokareva (), Konstantin Vishnevskiy () and Anton Zarubin ()
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Maria Tokareva: National Research University Higher School of Economics
Anton Zarubin: National Research University Higher School of Economics

HSE Working papers from National Research University Higher School of Economics

Abstract: Internet of Things (IoT) technologies are of particular interest for telecommunication companies that can significantly affect the interaction of economic agents. As a result of the growth in the number of connected devices, the introduction of cloud services and business applications it became possible to combine equipment, information systems and management systems into a single communication network which in turn gave impetus to the development of the Internet of Things. The basis for the development of the Internet of Things is modern data transmission technologies including IoT Wireless Networks. There are, currently, a number of wireless IoT technologies which have different characteristics. In this regard, it is of interest to identify the most promising technologies that will form the basis of the infrastructure for the development of the IoT ecosystem. This paper develops an assessment model for the application potential of IoT wireless network technologies for the telecommunication sector. LPWAN, 4G and Wi-Fi were identified as the most promising technologies. The majority of the assessment criteria are applicable to other telecommunication technologies.

Keywords: technology assessment; technology management; Internet of Things; wireless networks; telecommunication companies; decision model; digital platforms. (search for similar items in EconPapers)
JEL-codes: C43 L15 L96 O14 (search for similar items in EconPapers)
Pages: 30 pages
Date: 2019
New Economics Papers: this item is included in nep-ict and nep-pay
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Published in WP BRP Series: Science, Technology and Innovation / STI, Fabruary 2019, pages 1-30

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Persistent link: https://EconPapers.repec.org/RePEc:hig:wpaper:94sti2019

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