Review on the Current State of the Internet of Things and its Extension and its Challenges

Mubarak Himmat, Gada Algazoli, Nazar Hammam and Ashraf Gasim Elsid Abdalla
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Mubarak Himmat: University of Medical Science and Technology, Sudan
Gada Algazoli: University of Medical Science and Technology, Sudan
Nazar Hammam: University of Medical Science and Technology, Sudan
Ashraf Gasim Elsid Abdalla: Future University, Sudan

European Journal of Information Technologies and Computer Science, 2022, vol. 2, issue 2, 1-5

Abstract: This era witnessed the rapidly growing of internet technology, a huge amount of people all over the world using the internet and it applications, there are various ways and purposes for using the internet which contributed in so many fields, and one of these techniques which will be more increasing and usage is the future is the Internet of Things (IoT), which facilitate using of many embedded devices that help will be connected and controlled through the internet. The technology of the Internet of Things (IoT) relies on Cloud Computing. Cloud Computing provides a baseline that supports IoT and is built on the idea of allowing individuals to perform computing activities via internet-based services. This article presents a comprehensive survey on addresses the concerns, challenges, and existing state-of-the-art standards to emphasize and overcome most of the proposed technical solutions and it will deepen the importance of the IoT & The Internet of Everything (IoE) technology, the paper will cover and the domain of the internet of things and several technologies that widely used. The paper covered the architecture of the resulting Cloud-based IoT paradigm, as well as its new application scenarios, which will be discussed. Finally, new research directions and challenges are offered.

Keywords: Cloud-based; IoT; Cloud computing; Internet of Things; The Internet of Everything (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:epw:comput:v:2:y:2022:i:2:id:10058

DOI: 10.24018/compute.2022.2.2.58

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