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IEEE WCNCW BDCIWN 2018: 2018 IEEE Wireless Communications and Networking Conference Workshops (WCNCW): International Workshop on Big Data with Computational Intelligence for Wireless Networking - Program

Time 118

Sunday, April 15

02:00 pm-03:30 pm WS6-I: WS6: International Workshop on Big Data with Computational Intelligence for Wireless Networking Part I
03:45 pm-05:15 pm WS6-II: WS6: International Workshop on Big Data with Computational Intelligence for Wireless Networking Part II

Sunday, April 15

Sunday, April 15 2:00 - 3:30

WS6-I: WS6: International Workshop on Big Data with Computational Intelligence for Wireless Networking Part I

Modeling and analysis of wireless networking
Pietro Manzoni (keynote speaker)
Room: 118
Chair: Celimuge Wu (The University of Electro-Communications, Japan)

Keynote 1: Fast and scalable processing and information exchange in IoT Keynote Speaker: Pietro Manzoni, full professor, Universidad Politécnica de Valencia, Spain Abstract: The performance of applications for the Internet of Things (IoTs) depends on the availability of effective transport services offered by the underlying network. In this sense, Fog Computing aims to provide alternative networking models that offer higher fluidity in distributing in-network functions, in addition to allowing fast and scalable processing and exchange of information. In this talk we will present the current state of the art in the area and an architecture and a working prototype of a fog computing "content island" which interconnects groups of "things" packed-up together to interchange data and processing among themselves and with other content islands. These islands are based on the integration of a publish/subscribe system with DTN (Disruption Tolerant Networks) techniques to provide a higher flexibility with respect to data and computation sharing. Some preliminary results regarding the prototype performance are also given.

A Machine Learning-Based Approach for Virtual Network Function Modeling
Albert Mestres (Universitat Politècnica de Catalunya, Spain); Eduard Alarcón (Universitat Politécnica de Catalunya, Spain); Albert Cabellos-Aparicio (Universitat Politècnica de Catalunya, Spain)
Machine Learning Models for Wireless Network Monitoring and Analysis
Pedro Casas (Austrian Institute of Technology (AIT), Austria)
Resource-aware Routing and Scheduling in Multi-Radio Multi-Channel Wireless Mesh Networks
Zhanmao Cao (South China Normal University, China); Chase Q. Wu (New Jersey Institute of Technology & Oak Ridge National Laboratory, USA); Mark Berry (New Jersey Institute of Technology, USA); Yongqiang Wang (Northwest University, China)

Sunday, April 15 3:45 - 5:15

WS6-II: WS6: International Workshop on Big Data with Computational Intelligence for Wireless Networking Part II

Key technologies for the next generation wireless networking
Chase Q. Wu (keynote speaker)
Room: 118
Chair: Celimuge Wu (The University of Electro-Communications, Japan)

Keynote 1: FAST AND SCALABLE PROCESSING AND INFORMATION EXCHANGE IN IOT Keynote Speaker: Chase Q. Wu, Associate Professor, Director of Center for Big Data, New Jersey Institute of Technology, USA

Learning-assisted Beam Search for Indoor mmWave Networks
Yu-Jia Chen (National Central University, Taiwan); Wei-Yuan Cheng and Li-Chun Wang (National Chiao Tung University, Taiwan)
Random Forests Resource Allocation for 5G Systems: Performance and Robustness Study
Sahar Imtiaz (KTH Royal Institute of Technology, Sweden); Hadi Ghauch (Royal Institute of Technology (KTH), Sweden); Georgios P. Koudouridis (Ericsson & Dept. of Physics, Aristotle Univerity ot Thessaloniki (AUTH), Sweden); James Gross (KTH Royal Institute of Technology, Sweden)
On the use of Artificial Intelligence techniques in Intelligent Transportation Systems
Mirialys Machin, Julio A. Sanguesa, Piedad Garrido and Francisco J. Martinez (University of Zaragoza, Spain)