Smart City Gnosys
Smart city article details
| Title | The Iot And Big Data Analytics For Smart Sustainable Cities: Enabling Technologies And Practical Applications |
|---|---|
| ID_Doc | 55978 |
| Authors | Bibri S.E. |
| Year | 2020 |
| Published | Advances in Science, Technology and Innovation |
| DOI | http://dx.doi.org/10.1007/978-3-030-41746-8_8 |
| Abstract | The Internet of Things (IoT) has become a key component of the ICT infrastructure of smart sustainable cities due to its great potential to advance the different areas of sustainability. The IoT is associated with big data analytics, which is clearly on a penetrative path across urban systems and domains for optimizing and enhancing operations, functions, services, designs, and strategies. As such, the IoT-based big data applications can play a key role in enabling sustainable cities to improve their contribution to sustainability under what has been termed as smart sustainable cities. However, topical studies tend to deal largely with the IoT and big data analytics in the realm of smart cities, leaving important questions involving the role and potential of these advanced technologies in the realm of sustainable cities barely explored to date. Specifically, the integration of the IoT and big data analytics is an unexplored research area as regards the new opportunities it offers in terms of responding to the goals of sustainable development. With that in regard, this chapter provides a state-of-the-art review of the IoT and big data analytics in terms of their core enabling technologies and practical applications within smart cities and smart sustainable cities. Further, it proposes an integrated framework for smart sustainable cities, which is intended to illustrate how the informational landscape of smart cities based on the IoT and big data analytics could enhance the physical landscape of sustainable cities as regards their strategies in ways that can enhance their performance on the basis of the IoT-enabled big data applications. The proposed framework represents a conceptual structure intended to serve as a guide for building a model of smart sustainable cities that can expand the structure into something useful. This should be grounded in further qualitative analyses, empirical investigations, and practical implementations. This work serves to inform various city stakeholders about the benefits that can be realized from developing and implementing smart sustainable cities on the basis of the IoT and big data analytics. © 2020, Springer Nature Switzerland AG. |
| Author Keywords | Big data analytics; Big data applications; Cloud computing; Data processing platforms; Fog/edge computing; Sensor technology; Smart sustainable cities; Sustainability; The IoT |
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