Towards a smart city based on cloud of things, a survey on the smart city vision and paradigms

By Riccardo Petrolo, Valeria Loscrì, Nathalie Mitton. WiMobCity '14, 2014

403 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Media Technology

View Paper: https://www.semanticscholar.org/paper/fbca4a0caef1032d8643154b54d8148ca2230e2e

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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

In Computer Vision and Pattern Recognition

In Media Technology

Citations in the corpus

Integration of IoT-Enabled Technologies and Artificial Intelligence (AI) for Smart City Scenario: Recent Advancements and Future Trends (2023, background): “Over the past few years, many individuals have migrated towards urban areas, and predictions indicate that by 2030, 60% of the lobal population is going to be living in urban settings [2].”
Iot-based smart cities: A survey (2016, background): “The IoT systems provide a suitable platform that can analyze and integrate data coming from different devices [2, 46-52].”
A Survey of Blockchain Technology Applied to Smart Cities: Research Issues and Challenges (2019, background): “[28] have discussed the impact of Cloud of Things (CoT) on smart cities, and surveyed the requirements, benefits and challenges.”
Integration of Cloud computing and Internet of Things: A survey (2016, background): “able to provision and support ubiquitous connectivity and realtime applications for smart cities [35,59].”
Future Trends and Current State of Smart City Concepts: A Survey (2020, background): “On the other hand, the application domain has also been rapidly growing and studied in different scientiﬁc works [88]–[90].”
Machine learning for Internet of Things data analysis: A survey (2017, background): “In the last few years, the concept of smart cities has played an important role in academia and industry [26].”
Smart Cities: A Survey on Data Management, Security, and Enabling Technologies (2017, background): “[13] provide a survey of the semantics used by sensors in the Cloud for IoT applications in order to bridge the gap between the Internet of Things”