Delivering High-Frame-Rate Video to Mobile Devices in Heterogeneous Wireless Networks

2016 ◽  
Vol 64 (11) ◽  
pp. 4800-4816 ◽  
Author(s):  
Jiyan Wu ◽  
Bo Cheng ◽  
Ming Wang ◽  
Junliang Chen
Keyword(s):  
Wireless Networks ◽  
Mobile Devices ◽  
Heterogeneous Wireless Networks ◽  
Frame Rate ◽  
High Frame Rate

Very High Frame Rate Volumetric Integration of Depth Images on Mobile Devices

2015 ◽  
Vol 21 (11) ◽  
pp. 1241-1250 ◽  
Author(s):  
Olaf Kahler ◽  
Victor Adrian Prisacariu ◽  
Carl Yuheng Ren ◽  
Xin Sun ◽  
Philip Torr ◽  
...  
Keyword(s):  
Mobile Devices ◽  
Frame Rate ◽  
High Frame Rate ◽  
Depth Images ◽  
Very High

TCP-Oriented Raptor Coding for High-Frame-Rate Video Transmission Over Wireless Networks

2016 ◽  
Vol 34 (8) ◽  
pp. 2231-2246 ◽  
Author(s):  
Jiyan Wu ◽  
Chau Yuen ◽  
Ming Wang ◽  
Junliang Chen ◽  
Chang Wen Chen
Keyword(s):  
Wireless Networks ◽  
Video Transmission ◽  
Frame Rate ◽  
High Frame Rate

scholarly journals Multi-Objective Tabu Search to Balance Multihoming Loads in Heterogeneous Wireless Networks

2018 ◽  
Vol 13 (6) ◽  
pp. 956-971 ◽  
Author(s):  
Jorge A. Huertas ◽  
Yezid Donoso
Keyword(s):  
Genetic Algorithm ◽  
Wireless Networks ◽  
Tabu Search ◽  
Mobile Devices ◽  
Heterogeneous Wireless Networks ◽  
Access Networks ◽  
Efficient Set ◽  
Multi Objective ◽  
Multi Objective Genetic Algorithm ◽  
Key Indicators

The advantages of the increasing usage of mobile devices that operate under the multihoming scheme are changing the communications world drastically. Therefore, next generation networks operators have the challenging task to distribute connections of mobile devices efficiently over their access networks, creating a big heterogeneous wireless network for telecommunications. We present a mixed integerlinear programming (MILP) model to balance the load of multiple services over wireless networks taking into account three key indicators: connection loads of access networks, connection costs, and battery consumption of connections. To solve the multi-objective problem, we propose a multi-objective Tabu Search procedure that is capable to find non-supported solutions in the online efficient set. To test the performance of our multi-objective Tabu Search, we tested it over four instances of the literature. In the first instance, a small instance, our procedure finds the true efficient set of solutions. For the other three instances, large instances with over a thousand mobile devices, our procedure finds good online efficient sets of solutions in less than 30 seconds. Finally, using appropriate multi-objective metrics, we compare the results of our multi-objective Tabu Search against the results of a state of the art multi-objective genetic algorithm in the literature for the same problem, outperforming the genetic algorithm in every instance tested.

Modeling and Optimization of High Frame Rate Video Transmission Over Wireless Networks

2016 ◽  
Vol 15 (4) ◽  
pp. 2713-2726 ◽  
Author(s):  
Jiyan Wu ◽  
Chau Yuen ◽  
Ngai-Man Cheung ◽  
Junliang Chen ◽  
Chang Wen Chen
Keyword(s):  
Wireless Networks ◽  
Video Transmission ◽  
Frame Rate ◽  
High Frame Rate ◽  
Modeling And Optimization

Application of MADM Method VIKOR for Vertical Handoff in Heterogeneous Wireless Networks

2012 ◽  
Vol E95-B (2) ◽  
pp. 599-602 ◽  
Author(s):  
Enrique STEVENS-NAVARRO ◽  
Rubén GALLARDO-MEDINA ◽  
Ulises PINEDA-RICO ◽  
Jesús ACOSTA-ELIAS
Keyword(s):  
Wireless Networks ◽  
Heterogeneous Wireless Networks ◽  
Vertical Handoff

Measurement of regional pulse wave velocity using very high frame rate ultrasound

Choonpa Igaku ◽  
2015 ◽  
Vol 42 (6) ◽  
pp. 701-709
Author(s):  
Hideyuki HASEGAWA ◽  
Kazue HONGO ◽  
Hiroshi KANAI
Keyword(s):  
Pulse Wave Velocity ◽  
Wave Velocity ◽  
Pulse Wave ◽  
Frame Rate ◽  
High Frame Rate ◽  
Very High
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