Abstract
Video streaming is becoming increasingly popular due to the emergence of different video applications and services and the exponential growth in demand for multimedia applications. Streaming video over an error-prone network is technically challenging due to unpredictable channel conditions and demands for different types of quality of service (QoS) from various types of applications. The traditional Open System Interconnection (OSI) layered approach is designed for data transfer, and it performs specific operations independent of other layers. This approach may not work efficiently for wireless video streaming applications in which video quality is greatly affected by the network condition, link quality, and ability of the system to adapt to the channel conditions. This paper is primarily aimed at developing an algorithm to enhance video streaming over wireless local area networks using a biocooperative video-aware QoS-based multiobjective cross-layer optimization (MO-CLD) approach. First, the wireless video streaming optimization problem is formulated and modeled. To solve the optimization problem, we proposed a bioinspired optimization algorithm to jointly optimize the source rate and packet rate loss using dual decomposition. The simulation results show that the proposed biocooperative multiobjective optimization scheme using particle swarm optimization (PSO) relatively maintains and enhances the video streaming quality in error-prone transmission environments to ultimately support wireless multimedia applications and services. More importantly, the end-to-end delay and complexity are reduced significantly, which eventually lead to improvements in the scheme efficiency and video quality compared to basic cross-layer optimization (B-CLD).
Highlights
The demand for multimedia streaming applications and service is increasing exponentially and has dramatically reshaped the telecommunications industry to new dimensions with the development of various video applications
This paper explores the potential application of the aforementioned optimization scheme in wireless multimedia communication since there is a need to enhance system performance and manage resources efficiently
This paper fundamentally presents a new design paradigm that improves video quality by effectively managing the end-to-end delay and the buffer queue size
Summary
The demand for multimedia streaming applications and service is increasing exponentially and has dramatically reshaped the telecommunications industry to new dimensions with the development of various video applications. The proposed scheme is primarily aimed at improving video quality in wireless environments by keeping track of the channel condition and to strategically adapt to achieve an optimal streaming rate. The multiobjective PSO problem can be decomposed into a sub-objective function to reduce complexity and to simplify the problem To achieve this goal, two main parameters were selected to optimally support video streaming over wireless networks. Two main parameters were selected to optimally support video streaming over wireless networks These parameters include packet error rate and delay. Computing the minimum average delay and packet error rate based on the media content (video) and network condition will provide the necessary QoS to achieve optimal performance within the network. It has more processing power for fast computation when compared to mobile devices
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