Abstract
Rapid urbanization in recent years has imposed new challenges to the sustainable development of Cities. Governments and industries are focused on developing smart cities which face the challenge of efficient integration and dissemination of information. Moving toward smart cities reality depends on automation of resource allocation and utilization, which can be achieved via smart sensors and RFID. Sensor grids, generally known as the Internet of Things or IoT nowadays, disseminate large amounts of data continuously. Identification of areas to automate and tools for automating such areas are necessary for a successful and efficient deployment. This paper identifies five important areas for automation using concepts of IoT. Comparative analysis of tools based on various characteristics like collection, storage, and summarization of information is also discussed. Finally, Smart Utilities with their application area in smart cities along with its data analytics tools that will help us to live desired living by making better decisions is explored.
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Vasa, J., Yadav, H., Patel, B., Patel, R. (2023). Architecture, Applications and Data Analytics Tools for Smart Cities: A Technical Perspective. In: Shakya, S., Du, KL., Ntalianis, K. (eds) Sentiment Analysis and Deep Learning. Advances in Intelligent Systems and Computing, vol 1432. Springer, Singapore. https://doi.org/10.1007/978-981-19-5443-6_64
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DOI: https://doi.org/10.1007/978-981-19-5443-6_64
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