Development of Self-Sustaining System by Integration of AI and IoT-Reference-Cited by-同舟云学术

Development of Self-Sustaining System by Integration of AI and IoT

Published:2024-03-29 Issue: Volume: Page:130-153
ISSN:2327-3453
Container-title:Advances in Systems Analysis, Software Engineering, and High Performance Computing
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Author:

Sharma Durgesh M.¹^ORCID,Venkatramulu S.²,Raja M. Arun Manicka³,Vikram G.⁴,Alagappan Chockalingam⁵,Boopathi Sampath⁶^ORCID

Affiliation:

1. Shri Ramdeobaba College of Engineering and Management, Nagpur, India

2. Department of Computer Science and Engineering, Kakatiya Institute of Technology and Science, Warangal, India

3. Department of Computer Science and Engineering, RMK College of Engineering and Technology, Puduvoyal, India

4. Karunya School of Management, Karunya Institute of Technology and Sciences, Coimbatore, India

5. Department of Electrical and Electronics Engineering, M.Kumarasamy College of Engineering, Karur, India

6. Mechanical Engineering, Muthayammal Engineering College, Namakkal, India

Abstract

This chapter explores the integration of artificial intelligence (AI) and internet of things (IoT) technologies in autonomous systems. AI plays a crucial role in decision-making, predictive analytics, and adaptive learning, while IoT's sensor networks enable real-time data acquisition, communication, and control mechanisms. The integration of AI and IoT is explored across sectors like predictive maintenance, smart city infrastructure, healthcare, and industrial automation. However, challenges such as increasing reliance on edge computing, enhancing AI efficiency, stringent data security measures, and ethical considerations are highlighted. The chapter emphasizes the need for resilient, secure, and ethical advancements in technology to harness the potential of AI-infused autonomous systems and IoT technologies.

Publisher

IGI Global

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