Artificial Intelligence-Infused Urban Connectivity for Smart Cities and the Evolution of IoT Communication Networks

Author:

Jha Santosh Kumar1ORCID,Beevi S. Jennathu2,P. Hemavathi3ORCID,Babitha M. N.4,Chinnusamy Somu5,Boopathi Sampath6ORCID

Affiliation:

1. Department of Computer Application, L.N. Mishra Institute of Economic Development and Social Change, Patna, India

2. Department of Electrical and Electronics Engineering, B.S. Abdur Rahman Crescent Institute of Science and Technology, Chennai, India

3. Department of Computer Science and Engineering, Bangalore Institute of Technology, Bengaluru, India

4. Department of Computer Science and Engineering, Sri Siddhartha Institute of Technology, Sri Siddhartha Academy of Higher Education, Tumakuru, India

5. Research and Development, RSP Science Hub, Coimbatore, India

6. Department of Mechanical Engineering, Muthyammal Engineering College, Namakkal, India

Abstract

This chapter explored how artificial intelligence (AI) can be applied to internet of things (IoT) communication networks to increase urban sustainability and connectivity. AI algorithms network performance has been enhanced by facilitating automated decision-making, predictive analytics, and real-time data processing. The urban infrastructure has become flexible with the environment. AI-powered traffic management systems that minimize pollution and congestion have been analyzing traffic patterns and optimizing signal timing. AI can be used for anomaly detection and encryption to improve IoT network security and privacy. It encourages trash management, environmental monitoring, and the development of smart grids, all of which improve urban livability and sustainability.

Publisher

IGI Global

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