Internet of Things and Big Data Analytics for Smart and Connected Communities

By Yunchuan Sun, Houbing Song, A. Jara, Rongfang Bie. IEEE Access, 2016

785 citations recorded by the source corpus.

This paper promotes the concept of smart and connected communities SCC, which is evolving from the concept of smart cities. SCC are envisioned to address synergistically the needs of remembering the past (preservation and revitalization), the needs of living in the present (livability), and the needs of planning for the future (attainability). Therefore, the vision of SCC is to improve livability, preservation, revitalization, and attainability of a community. The goal of building SCC for a community is to live in the present, plan for the future, and remember the past. We argue that Internet of Things (IoT) has the potential to provide a ubiquitous network of connected devices and smart sensors for SCC, and big data analytics has the potential to enable the move from IoT to real-time control desired for SCC. We highlight mobile crowdsensing and cyber-physical cloud computing as two most important IoT technologies in promoting SCC. As a case study, we present TreSight, which integrates IoT and big data analytics for smart tourism and sustainable cultural heritage in the city of Trento, Italy.

Subfields: Computer Networks and Communications, Computer Science Applications, Transportation

View Paper: https://www.semanticscholar.org/paper/dcb401a9ff0ff14300e181c6fcd35479b719725d

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In Computer Networks and Communications

In Computer Science Applications

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In Transportation

Citations in the corpus

IoT Privacy and Security: Challenges and Solutions (2020, background): “In 2020 and beyond, for instance, intelligent thermostats and smart lighting are a few examples of how IoT is being used not only in the preservation of energy but also in the reduction of the bills and this contributes to the great reason why many people are choosing IoT devices [26].”
Smart Health Solution Integrating IoT and Cloud: A Case Study of Voice Pathology Monitoring (2017, background): “[8] Y.”
Internet of Things-Aided Smart Grid: Technologies, Architectures, Applications, Prototypes, and Future Research Directions (2017, background): “Big data analytics can help to manage real-time and huge data [173].”
A Manufacturing Big Data Solution for Active Preventive Maintenance (2017, background): “nologies are permeating all aspects of manufacturing systems [2] as well as other fields [3], expediting the generation of manufacturing big data [4].”
IoT-Enabled Social Relationships Meet Artificial Social Intelligence (2021, methodology): “AI techniques have been widely applied to tackle data management problems in all layers, from the physical layer to the application layer [36].”
Security of the Internet of Things: Vulnerabilities, Attacks, and Countermeasures (2019, background): “Emerging IoT implementations will use smaller and more energy-efficient embedded sensor technologies, enhanced communications, advanced data analytics, and more sophisticated actuators to collect and aggregate information and enable intelligent systems that understand context, track and manage compl”
Smart City and information technology: A review (2019, background): “%) explicitly gave a policy or urban planning advice (Ishida, 2002; Jin et al., 2014; Kramers et al., 2014; Piro et al., 2014; Sun et al., 2016).”
A Survey of Deep Learning: Platforms, Applications and Emerging Research Trends (2018, background): “, network congestion and latency are only going to increase without a diverse array of complementary solutions [80], [82], [125], [127], [143], [147], [148], [161].”
A Survey on Mobile Crowdsensing Systems: Challenges, Solutions, and Opportunities (2019, background): “In the last years, big data analytics has revealed a successful emerging strategy in smart and connected communities, such as MCS systems, for real use cases [306].”