AI-Driven Routing Algorithms for IoT Enabled Smart-City Infrastructure
DOI:
https://doi.org/10.22105/siot.v1i4.229Keywords:
AI, Routing algorithms, Smart cities, Machine learningAbstract
As urban infrastructure continues to develop towards increased interconnectivity, artificial intelligence (AI) has become a key enabler for enhancing IoT-integrated smart city systems. AI-based routing algorithms are essential in processing the vast quantities of data produced by IoT devices, leading to more efficient, adaptive, and durable urban services. These algorithms continually process and evaluate real-time information from connected sensors and devices, allowing for optimized routing in various applications such as traffic management, emergency response, waste collection, and energy distribution. Utilizing machine learning, reinforcement learning, and predictive analytics, AI-enhanced routing systems improve the agility and sustainability of urban infrastructure. This paper explores different AI-powered routing models and methods, examines their integration within IoT systems, and discusses issues related to data privacy, security, and scalability. In summary, AI-driven routing improves smart city infrastructure by delivering quicker, more intelligent, and adaptable solutions, which are crucial for cities looking to enhance resource utilization, decrease congestion, and foster a better quality of urban life.
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