How Can Heterogeneous Internet of Things Build Our Future: A Survey

By Tie Qiu, Ning Chen, Keqiu Li, Mohammed Atiquzzaman, Wenbing Zhao. IEEE Communications Surveys and Tutorials, 2018

392 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/3c1d360b06f1273163985e72ab9a45bae36cee4a

How researchers see this paper

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

In Computer Networks and Communications

1. Fumiyuki Adachi
2. Guan Gui
3. Haris Gacanin
4. Martin Reisslein
5. Tie Qiu
6. Yongjun Xu
7. Huiqiang Xie
8. Zhijin Qin

In Computer Vision and Pattern Recognition

1. Guan Gui
2. Martin Reisslein
3. Tie Qiu
4. Huiqiang Xie
5. Zhijin Qin

Citations in the corpus

• Ultra-Low Latency (ULL) Networks: The IEEE TSN and IETF DetNet Standards and Related 5G ULL Research (2018, background): “IoT access methods [223] because of its simplicity and resilience to interference [224].”
• Underwater Internet of Things in Smart Ocean: System Architecture and Open Issues (2020, methodology): “Furthermore, the extraction of knowledge from this data requires fast and accurate complex computations using cloud computing and fog computing [2].”
• A Survey on Resource Allocation for 5G Heterogeneous Networks: Current Research, Future Trends, and Challenges (2020, background): “Furthermore, the authors in [35] and [36] extended the HCRAN into the heterogeneous IoT (Het-IoT) according to the data interchange formats and network architectures.”
• A Lite Distributed Semantic Communication System for Internet of Things (2020, background): “With the widely deployed connected devices, Internet of Things (IoT) networks are providing more and more intelligent services, i.e., smart home, intelligent manufacturing, and smart cities, by processing a massive amount of data generated by those connected devices [1], [2].”