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Impact of COVID-19 on IoT Adoption in Healthcare, Smart Homes, Smart Buildings, Smart Cities, Transportation and Industrial IoT.
Umair, Muhammad; Cheema, Muhammad Aamir; Cheema, Omer; Li, Huan; Lu, Hua.
  • Umair M; Department of Electrical, Electronics and Telecommunication Engineering, New Campus, University of Engineering and Technology, Lahore, Punjab 54890, Pakistan.
  • Cheema MA; Faculty of Information Technology, Monash University, Wellington Rd, Clayton, VIC 3800, Australia.
  • Cheema O; IoT Wi-Fi Business Unit, Dialog Semiconductor, Green Park Reading RG2 6GP, UK.
  • Li H; Department of Computer Science, Aalborg University, Fredrik Bajers Vej 7K, 9220 Aalborg Øst, Denmark.
  • Lu H; Department of People and Technology, Roskilde University, Universitetsvej 1, 4000 Roskilde, Denmark.
Sensors (Basel) ; 21(11)2021 Jun 01.
Article in English | MEDLINE | ID: covidwho-1259573
ABSTRACT
COVID-19 has disrupted normal life and has enforced a substantial change in the policies, priorities and activities of individuals, organisations and governments. These changes are proving to be a catalyst for technology and innovation. In this paper, we discuss the pandemic's potential impact on the adoption of the Internet of Things (IoT) in various broad sectors, namely healthcare, smart homes, smart buildings, smart cities, transportation and industrial IoT. Our perspective and forecast of this impact on IoT adoption is based on a thorough research literature review, a careful examination of reports from leading consulting firms and interactions with several industry experts. For each of these sectors, we also provide the details of notable IoT initiatives taken in the wake of COVID-19. We also highlight the challenges that need to be addressed and important research directions that will facilitate accelerated IoT adoption.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Internet of Things / COVID-19 Type of study: Experimental Studies / Prognostic study / Reviews Limits: Humans Language: English Year: 2021 Document Type: Article Affiliation country: S21113838

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Internet of Things / COVID-19 Type of study: Experimental Studies / Prognostic study / Reviews Limits: Humans Language: English Year: 2021 Document Type: Article Affiliation country: S21113838