scholarly journals Kumar’s, Zipf’s and other laws: how to structure a large-scale wireless network?

2008 ◽  
Vol 63 (5-6) ◽  
pp. 239-251 ◽  
Author(s):  
M. Dohler ◽  
T. Watteyne ◽  
F. Valois ◽  
J.-L. Lu
Keyword(s):  
Wireless Network ◽  
Large Scale

An algorithm for threading assignment in large-scale wireless network mobile simulations

2021 ◽  
Author(s):  
Orestes Manzanilla-Salazar ◽  
Hakim Mellah ◽  
Filippo Malandra ◽  
Brunilde Sanso
Keyword(s):  
Wireless Network ◽  
Large Scale

Large-scale Measurements of Wireless Network Behavior

2015 ◽  
Vol 45 (4) ◽  
pp. 153-165 ◽  
Author(s):  
Sanjit Biswas ◽  
John Bicket ◽  
Edmund Wong ◽  
Raluca Musaloiu-E ◽  
Apurv Bhartia ◽  
...  
Keyword(s):  
Wireless Network ◽  
Large Scale ◽  
Network Behavior

Construction of a node-combined wireless network for large-scale disasters

2015 ◽  
Author(s):  
Atsushi Mori ◽  
Hiraku Okada ◽  
Kentaro Kobayashi ◽  
Masaaki Katayama ◽  
Kenichi Mase
Keyword(s):  
Wireless Network ◽  
Large Scale

On the Capacity Gain from Full Duplex Communications in a Large Scale Wireless Network

2016 ◽  
Vol 15 (9) ◽  
pp. 2290-2303 ◽  
Author(s):  
Xudong Wang ◽  
Huaiyu Huang ◽  
Taewon Hwang
Keyword(s):  
Wireless Network ◽  
Large Scale ◽  
Full Duplex ◽  
Capacity Gain

scholarly journals A Survey on Data Analysis on Large-Scale Wireless Networks: Online Stream Processing, Trends, and Challenges

2020 ◽  
Author(s):  
Dianne Scherly Varela de Medeiros ◽  
Helio do Nascimento Cunha Neto ◽  
Martin Andreoni Lopez ◽  
Luiz Claudio Schara Magalhães ◽  
Natalia Castro Fernandes ◽  
...  
Keyword(s):  
Machine Learning ◽  
Wireless Networks ◽  
Big Data ◽  
Wireless Network ◽  
Data Stream ◽  
Large Scale ◽  
Stream Processing ◽  
Knowledge Extraction ◽  
Machine Learning Algorithms ◽  
Data Stream Processing

Abstract 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.

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