Implementation of Internet of things in building smart cities

Smart cities and urban planning have emerged as catalysts for national development, equipping society with the ability to make informed decisions promptly. This paper presents a comprehensive system for smart cities and urban planning, driven by IoT-generated Big Data analysis. The proposed architecture comprises four tiers, encompassing data collection, aggregation, communication, processing, and interpretation, with Hadoop technologies and Spark for real-time processing. Basic IoT-generated datasets from diverse smart city domains, including vehicular networks, smart parking, smart homes, weather, pollution, and surveillance, are harnessed to foster urban development and expedite decision-making.The proposed system yields benefit for citizens and authorities alike, empowering them to make intelligent and swift decisions. Efficiency assessments reveal favorable outcomes, even when handling extensive datasets, and highlight the system's scalability with increasing data size. This research underscores the transformative potential of smart city initiatives and their integral role in shaping the future of urban living.