Authors : Samrat S; Dr. S. J. Manjunath

Volume/Issue : Volume 9 - 2024, Issue 7 - July

Google Scholar : https://tinyurl.com/yyzvdbnc

Scribd : https://tinyurl.com/3sskfa36

DOI : https://doi.org/10.38124/ijisrt/IJISRT24JUL1317

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Abstract : The rapid urbanization in Karnataka, characterized by increasing population and infrastructure demands, necessitates innovative solutions to ensure sustainable and efficient urban management. Leveraging the Internet of Things (IoT), Artificial Intelligence (AI), and Machine Learning (ML) offers significant potential to enhance the decision-making capabilities of policy makers in Karnataka’s smart cities. This research paper investigates the effectiveness of these technologies in improving urban governance, focusing on real-time data acquisition, predictive analytics, and informed policy decisions. AI and ML are crucial in the analysis and interpretation of the vast amounts of data generated by IoT devices. AI algorithms process this data to identify patterns, anomalies, and trends, while ML models predict future scenarios based on historical data. For instance, predictive analytics can forecast traffic congestion, energy demand, and potential public health crises, allowing policy makers to deploy preemptive measures. In smart city initiatives, AI-driven insights ensure that resources are allocated efficiently, urban planning is optimized, and public services are enhanced. In conclusion, the integration of IoT, AI, and ML holds transformative potential for enhancing decision-making processes in Karnataka’s smart cities. By providing real-time data, predictive insights, and efficient resource management tools, these technologies enable policy makers to address urban challenges proactively and sustainably.

Keywords : Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), Smart Cities, Urban Governance.

References :

1. Aggarwal, N., Chauhan, R., & Rathi, V. (2020).Smart City Technologies: A Comprehensive Review on IoT, AI, and Machine Learning Applications. International Journal of Urban Sciences, 24(3), 334-350.
2. Chandramouli, S., & Kumar, A. (2021).Leveraging IoT for Resource Management in Bengaluru Smart City. Journal of Internet of Things, 7(5), 276-292.
3. Das, S., & Sharma, P. (2020). AI and Machine Learning in Environmental Monitoring: Applications in Indian Smart Cities. Environmental Technology & Innovation, 20(3), 102-115.
4. Dutta, R., & Sen, S. (2021). The Role of AI in Enhancing Smart City Governance in India. International Journal of Applied Artificial Intelligence, 35(4), 641-655.
5. Government of Karnataka. (2019). Karnataka Smart Cities Mission: Policy Framework and Implementation Strategies. Bengaluru: Karnataka Urban Development Department.
6. Jha, N., & Patel, S. (2018). IoT-Enabled Smart Grids for Sustainable Energy Management. Renewable Energy Journal, 27(11), 1215-1224.
7. Kumar, N., & Gupta, A. (2020).Data-Driven Urban Management through IoT and AI: Insights from Karnataka's Smart Cities. Urban Computing Journal, 12(7), 211-225.
8. Mehta, S., & Rao, P. (2021).Predictive Analytics in Traffic Management: Bengaluru's Smart City Initiative. Transportation Research Record, 2674(5), 1021-1032.
9. Mukherjee, P., & Sinha, R. (2019).IoT, AI, and ML in Urban Water Management: A Case Study of Mysuru. Journal of Water Resources Management, 33(12), 4195-4212.
10. National Institute of Urban Affairs (NIUA). (2021). Smart City Development in Karnataka: Challenges and Prospects. New Delhi: NIUA Publications.
11. Patil, S., & Sharma, R. (2019).Challenges in IoT Integration: Insights from Karnataka's Smart City Projects. Journal of Internet of Things, 10(2), 89-104.
12. Rahman, F., & Ali, S. (2020). Data Privacy and Security in IoT-Based Smart Cities: An Indian Perspective. Cybersecurity Journal, 15(2), 89-103.
13. Rao, K. M., & Iyer, N. (2021).AI and ML for Efficient Waste Management Systems: Case Studies from Karnataka. Journal of Environmental Management, 29(3), 1121-1135.
14. Singh, J., & Bhattacharya, A. (2020).5G Connectivity and IoT: Transforming Smart City Infrastructure. Telecommunications Review, 68(4), 412-426.
15. Smart Cities Mission India. (2018). Overview of Smart City Projects in India with a Focus on Karnataka. New Delhi: Ministry of Housing and Urban Affairs.
16. Sundaram, R., & Menon, V. (2021).The Future of Urban Living: AI and IoT in Environmental Sustainability. Journal of Urban Technology, 28(1), 77-92.
17. Verma, D., & Acharya, S. (2020). Ethical and Social Implications of AI in Urban Governance. Ethics in Science and Technology, 18(1), 66-79.