A Survey on Network Methodologies for Real-Time Analytics of Massive IoT Data and Open Research Issues

By Shikhar Verma, Yuichi Kawamoto, Zubair Muhammad Fadlullah, Hiroki Nishiyama, Nei Kato. IEEE Communications Surveys and Tutorials, 2017

375 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/7b76bc732b5c7886344ff4cf127af78149e28433

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Citations in the corpus

Empowering Things With Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things (2020, background): “[48] presented a comprehensive survey of network methodologies, includ-”
Toward Massive Machine Type Communications in Ultra-Dense Cellular IoT Networks: Current Issues and Machine Learning-Assisted Solutions (2018, background): “In this regard, authors in [39, 40] discussed the connection between IoT and big data analytics, and provided a survey on the existing research attempts in the domain of big IoT data analytics.”
Quantum Machine Learning for 6G Communication Networks: State-of-the-Art and Vision for the Future (2019, background): “The future vision of this concept of smart cities will eventually shape the smart world/planet [205]–[207]; where the combined role of M-IoT, QC, ML, and big data analytics is of vital importance.”
Internet of Underwater Things and Big Marine Data Analytics—A Comprehensive Survey (2020, background): “In other words, many previous articles can be found in the literature that cover IoT [1], [10], big data [11], the joint aspects of IoT and big data [32], and even big data analytics in IoT [12], [33].”
A Survey of Multi-Access Edge Computing in 5G and Beyond: Fundamentals, Technology Integration, and State-of-the-Art (2019, neutral): “✓ ✓ [183] Proposing a Mobile Edge Internet of Things (MEIoT) architecture by leveraging the ﬁber-wireless access technology, the cloudlet concept, and the software deﬁned networking framework ✓ ✓ ✓ ✓ [184] Explaining the shortcomings of the network methodologies to support them. Discussing the relev”
The Future of Healthcare Internet of Things: A Survey of Emerging Technologies (2020, background): “Several real-time data analytics schemes have been proposed for IoT systems [160], [161], but the QoS requirement for H-IoT differs from other IoT scenarios.”
IoT-Enabled Social Relationships Meet Artificial Social Intelligence (2021, background): “The IoT is suffering from data explosion at the sensing layer [2], connections explosion at”