A Framework for IoT-Enabled Smart Property Management Systems in Urban Real Estate

Abstract

The integration of Internet of Things (IoT) technologies into urban real estate has ushered in a new paradigm of intelligent property management, fostering efficiency, sustainability, and enhanced user experience. This paper presents a comprehensive framework for the development and deployment of IoT-enabled smart property management systems tailored to the complexities of urban real estate environments. The proposed framework encompasses a layered architecture that integrates sensor networks, edge and cloud computing, data analytics, and real-time decision-making modules to automate core property functions such as energy optimization, facility monitoring, security, and predictive maintenance. Emphasis is placed on interoperability, scalability, and data privacy to ensure seamless integration with existing infrastructure and compliance with urban regulatory policies. Through a combination of literature review, system modeling, and case analysis, the paper identifies key components, technologies, and implementation challenges that influence system performance and user adoption. The framework is designed to support stakeholders including property owners, facility managers, and tenants by enabling intelligent automation, reducing operational costs, and improving resource utilization. Furthermore, the study outlines practical deployment strategies and highlights the potential impact on urban sustainability goals. The findings contribute to the evolving discourse on smart cities by offering a viable model for technologically enhanced real estate management and maintenance in rapidly urbanizing regions