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Collaborative approach of AI in Internet of Things to incorporate M2M Interaction

    Authors

    • Chitti T.N 1
    • Saravanan Alagarsamy 2

    1 Senior Assistant Professor, Information Science and Engineering, New Horizon College of Engineering, Bangalore, Karnataka, India.

    2 Associate Professor, Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, Srivilliputhur, Tamil Nadu,India

,

Document Type : Research Article

10.47392/irjash.2023.S040
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Abstract

A
I is a branch of computer science which is a study of developing machines to perform tasks. On the other hand IoT is all about things (devices) that connect to internet to perform tasks. The primary criteria of both the techniques are  to incorporate machine-machine intervention. AI provides automation to com- plete the tasks without any human intervention. The collaboration of both the techniques will definitely results into a better outcome. Internet of things has become very popular now. Artificial intelligence mainly uses machine learn- ing algorithms into IoT. Artificial intelligence is used to easily identify useful patterns and anamolies form the data collected from IoT sensors. Artificial intelligence is easily embedded into various programs and chips which are  all connected to IoT networks. IoT is helping the business world to capture large amount of data from various sources. In general both the techniques are very powerful where IoT (nerve), AI (brain). Artificial intelligence along with Internet of Things provides a wide range of advantages for businesses and con- sumers, including proactive intervention, tailored experiences, and intelligent automation. Artificial intelligence is combined with IoT which explains how the data is analyzed and makes decision and acts on the data without any human intervention. The combination of both the technologies plays a vital role in all real-time applications.
The combination of AI (Artificial Intelligence) with the IoT has the potential to
design and develop industries, businesses, and economies to operate properly. IoT with AI generates good results that help in proper decision-making with little or no human intervention. The combination of both the technologies can help both the normal and the business people. IoT deals with devices connect- ing with each other over the internet and Artificial Intelligence is focused with devices learning from their data and experience.
Prerequisites: IoT in automatic irrigation, IoT in automatic car, IoT in auto- matic liquid monitoring.

Keywords

  • Internet of Things(IoT)
  • Artificial Intelligence(AI)
  • machine-to- machine(M2M)
  • Data Analytics
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International Research Journal on Advanced Science Hub
Volume 5, Issue 05S - Issue Serial Number 5
May 2023
Page 301-304
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  • PDF 2.58 M
History
  • Receive Date: 28 February 2023
  • Revise Date: 14 March 2023
  • Accept Date: 19 March 2023
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  • Article View: 219
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APA

T.N, C. and Alagarsamy, S. (2023). Collaborative approach of AI in Internet of Things to incorporate M2M Interaction. International Research Journal on Advanced Science Hub, 5(Issue 05S), 301-304. doi: 10.47392/irjash.2023.S040

MLA

T.N, C. , and Alagarsamy, S. . "Collaborative approach of AI in Internet of Things to incorporate M2M Interaction", International Research Journal on Advanced Science Hub, 5, Issue 05S, 2023, 301-304. doi: 10.47392/irjash.2023.S040

HARVARD

T.N, C., Alagarsamy, S. (2023). 'Collaborative approach of AI in Internet of Things to incorporate M2M Interaction', International Research Journal on Advanced Science Hub, 5(Issue 05S), pp. 301-304. doi: 10.47392/irjash.2023.S040

CHICAGO

C. T.N and S. Alagarsamy, "Collaborative approach of AI in Internet of Things to incorporate M2M Interaction," International Research Journal on Advanced Science Hub, 5 Issue 05S (2023): 301-304, doi: 10.47392/irjash.2023.S040

VANCOUVER

T.N, C., Alagarsamy, S. Collaborative approach of AI in Internet of Things to incorporate M2M Interaction. International Research Journal on Advanced Science Hub, 2023; 5(Issue 05S): 301-304. doi: 10.47392/irjash.2023.S040

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