Here there be dragons, a pre-roadmap construct for IoT service infrastructure

Nazrul Islam, Yorgos Marinakis, Mary Anne Majadillas, Matthias Fink and Steven T. Walsh

Technological Forecasting and Social Change, 2020, vol. 155, issue C

Abstract: The major challenges facing the 21st century world demands disruptive technology based solutions. One of the most promising exponential technology set to address world challenges is the Internet of Things (IoT) based Trillion Sensor System (TSS). The IoT supports many revolutionary commercial and societal solutions including wearable or unobtrusive medical sensors, Industry 4.0, power and water grids, smart cities, food production, education, transportation and roadway infrastructure needs. However, to support these solutions the current IoT infrastructure needs improved spectrum and the use of between one to ten Trillion Sensors (TS). The development of a robust IoT based TSS infrastructure would create an addition to world GDP equal to that of the U.S. GDP to double the worlds GDP. This new IoT based TSS would create a high paying job base that will form a new vibrant world middle class and an abundant economy. Yet while much is written about the ability of the IoT to transform society little effort is focused on its infrastructure. If this is true there is cause for concern. We add to the literature by developing a precursor road mapping construct which focuses on the service sector and supports 3rd generation road mapping techniques. We utilize the emerging IoT TSS technology base as our case study. We utilize the best thoughts of hundreds of experts from three organizations focused on accelerating IoT TSS road mapping efforts.

Keywords: Abundance; Technology entrepreneurship; Global finance; Service based technology road-mapping; Trillion sensor systems; Additive manufacturing (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (13)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:155:y:2020:i:c:s0040162517308818

DOI: 10.1016/j.techfore.2017.09.016

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