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author:

Zhang, S. (Zhang, S..) [1] | Chen, F. (Chen, F..) [2] | Jia, W.-K. (Jia, W.-K..) [3] | Jiang, H. (Jiang, H..) [4]

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Scopus

Abstract:

In the past few years, data traffic generated by video applications has become the dominant traffic on the internet due to the rapid development of wireless network and mobile terminal. However, using a single wireless network for video transmission with limited bandwidth is facing great challenges under the increasing video quality requirement. Fortunately, mobile terminal equipped with multiple network interfaces can transmit data over heterogeneous wireless networks concurrently to achieve higher bandwidth. In order to make effective use of heterogeneous access network resources, this paper develops a heuristic flow splitting algorithm based on ACO (Ant Colony Optimization) algorithm. Firstly, a system model with the objective that minimizes the multipath video transmission distortion is proposed under the end-To-end delay constraint. Secondly, to solve the problem based on heuristic ACO, the relevant models such as pheromone model and reliability model are presented, and a heuristic ACO algorithm is proposed. Finally, the proposed algorithm is tested and evaluated in the real-world platform. The evaluation results show that the proposed algorithm performs better than the referenced traditional algorithm in terms of PSNR and end-To-end frame delay. © 2019 IEEE.

Keyword:

Ant Colony Optimization; Flow splitting; Heterogeneous wireless network; Multipath concurrent transmission; video transmission

Community:

  • [ 1 ] [Zhang, S.]College of Physics and Information Engineering, Fuzhou University, China
  • [ 2 ] [Chen, F.]College of Physics and Information Engineering, Fuzhou University, China
  • [ 3 ] [Jia, W.-K.]College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou, China
  • [ 4 ] [Jiang, H.]College of Physics and Information Engineering, Fuzhou University, China

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Source :

Proceedings - IEEE International Conference on Mobile Data Management

ISSN: 1551-6245

Year: 2019

Volume: 2019-June

Page: 539-544

Language: English

Cited Count:

WoS CC Cited Count:

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ESI Highly Cited Papers on the List: 0 Unfold All

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Chinese Cited Count:

30 Days PV: 2

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