A Survey on Data Analysis on Large-Scale Wireless Networks: Online Stream Processing, Trends, and Challenges
In this paper we focus on knowledge extraction from large-scale wireless networks through stream processing. We present the primary methods for sampling, data collection, and monitoring of wireless networks and we characterize knowledge extraction as a machine learning problem on big data stream processing. We show the main trends in big data stream processing frameworks. Additionally, we explore the data preprocessing, feature engineering, and the machine learning algorithms applied to the scenario of wireless network analytics. We address challenges and present research projects in wireless network monitoring and stream processing. Finally, future perspectives, such as deep learning and reinforcement learning in stream processing, are anticipated.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Due to technical limitations, full-text HTML conversion of this manuscript could not be completed. However, the manuscript can be downloaded and accessed as a PDF.
Posted 16 Sep, 2020
On 19 Oct, 2020
On 19 Oct, 2020
On 18 Sep, 2020
Received 18 Sep, 2020
On 18 Sep, 2020
Received 17 Sep, 2020
On 15 Sep, 2020
Invitations sent on 14 Sep, 2020
On 13 Sep, 2020
On 12 Sep, 2020
On 12 Sep, 2020
On 27 Aug, 2020
Received 18 Aug, 2020
Received 18 Aug, 2020
On 09 Aug, 2020
On 04 Aug, 2020
On 04 Aug, 2020
Invitations sent on 03 Aug, 2020
On 17 Mar, 2020
On 16 Mar, 2020
On 16 Mar, 2020
On 16 Mar, 2020
A Survey on Data Analysis on Large-Scale Wireless Networks: Online Stream Processing, Trends, and Challenges
Posted 16 Sep, 2020
On 19 Oct, 2020
On 19 Oct, 2020
On 18 Sep, 2020
Received 18 Sep, 2020
On 18 Sep, 2020
Received 17 Sep, 2020
On 15 Sep, 2020
Invitations sent on 14 Sep, 2020
On 13 Sep, 2020
On 12 Sep, 2020
On 12 Sep, 2020
On 27 Aug, 2020
Received 18 Aug, 2020
Received 18 Aug, 2020
On 09 Aug, 2020
On 04 Aug, 2020
On 04 Aug, 2020
Invitations sent on 03 Aug, 2020
On 17 Mar, 2020
On 16 Mar, 2020
On 16 Mar, 2020
On 16 Mar, 2020
In this paper we focus on knowledge extraction from large-scale wireless networks through stream processing. We present the primary methods for sampling, data collection, and monitoring of wireless networks and we characterize knowledge extraction as a machine learning problem on big data stream processing. We show the main trends in big data stream processing frameworks. Additionally, we explore the data preprocessing, feature engineering, and the machine learning algorithms applied to the scenario of wireless network analytics. We address challenges and present research projects in wireless network monitoring and stream processing. Finally, future perspectives, such as deep learning and reinforcement learning in stream processing, are anticipated.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Due to technical limitations, full-text HTML conversion of this manuscript could not be completed. However, the manuscript can be downloaded and accessed as a PDF.