When things matter: A survey on data-centric internet of things
By Yongrui Qin, Quan Z. Sheng, Nickolas J. G. Falkner, Schahram Dustdar, Hua Wang, Athanasios V. Vasilakos. Journal of Network and Computer Applications, 2016
328 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Information Systems
View Paper: https://www.semanticscholar.org/paper/ff574d79e9d5d888cffbc18235d1c440dd4f95b0
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
In Computer Vision and Pattern Recognition
- Mohammadreza Rezvan
- Amit P. Sheth
- Payam M. Barnaghi
- Mohammad Saeid Mahdavinejad
- Mohammadamin Barekatain
- Peyman Adibi
In Information Systems
Citations in the corpus
- Machine learning for Internet of Things data analysis: A survey (2017, background): “To integrate the sensory data collected from heterogeneous sources is challenging [14,38].”
- Big data privacy: a technological perspective and review (2016, background): “The volumes of data are vast, the generation speed of data is fast and the data/information space is global [9].”
- The value of online surveys: a look back and a look ahead (2018, background): “Good insights into the role of the Internet of Things in future research efforts are by Ng and Wakenshaw (2017), and Qin et al. (2016).”