A Real-Time Adaptive Algorithm for Video Streaming over

Multiple Wireless Access Networks

OBJECTIVE

In this paper, we realized a prototype of this architecture to validate the feasibility of the

proposed method.

According to the experiment, this method could provide efficient self-adaptive

multimedia streaming services for varying bandwidth environments.

Abstract:

In this work we have a present the characterization of the mobile network traffic generated by

one of the foremost relevant social networking applications: YouTube. Understanding its

characteristics is of major importance to evaluate its impact on mobile networks and optimize

network or application style. Video streaming is gaining quality among mobile users. the

foremost recent mobile devices, like sensible phones and tablets, unit equipped with multiple

wireless network interfaces. How to with efficiency and cost-effectively utilize multiple links to

improve video streaming quality wishes investigation. so as to maintain high video streaming

quality whereas reducing the wireless service value, throughout this paper, the optimum video

streaming technique with multiple links is developed as a Markov call technique (MDP). The

reward operate is supposed to think over the standard of service (QoS) desires for video traffic,

rather like the startup latency, playback fluency, average playback quality, playback smoothness

and wireless service value. to resolve the MDP in real time, we've a bent to propose associate

adaptive , best-action search rule to obtain a sub-optimal answer. to guage the performance of

the planned adaptation rule, we've a bent to implemented a testbed using the automaton itinerant

and collectively the climbable Video writing (SVC) codec. Additionally, the mobile terminal can

strongly influence the download. Our results with high-end Android terminals show that the

client implements a dual-threshold buffer policy that interrupts and resumes the download

depending on its buffer occupancy.

EXISTING SYSTEM

In the previous service, the mobile device side exchanges information with the cloud

environment, so as to determine an optimum multimedia video. Scholars have done numerous

researches toward conventional platform (CDN) to store different movie formats in a multimedia

server, to choose the right video stream according to the current network situation or the

hardware calculation capabilities. To solve this problem, many researchers have attempted

dynamic encoding to transfer media content, but still cannot offer the best video quality.

LIMITATIONS

Video communication over mobile broadband networks today is challenging due to

limitations in bandwidth and difficulties in maintaining high reliability, quality, and latency

demands imposed by rich multimedia applications.

Increasing in network traffic by the use of multimedia content and applications.

PROPOSED SYSTEM

The proposed system provided an efficient interactive streaming service for diversified

mobile devices and dynamic network environments.

When a mobile device requests a multimedia streaming service, it transmits its hardware

and network environment parameters to the profile agent in the cloud environment, which

records the mobile device codes and determines the required parameters.

The most suitable SVC code for the device according to the parameters, and then the

SVC Transcoding Controller (STC) hands over the transcoding work via map-reduce to

the cloud, in order to increase the transcoding rate.

The multimedia video file is transmitted to the mobile device through the service.

ADVANTAGES:

The network bandwidth can be changed dynamically.

This method could provide efficient self-adaptive multimedia streaming services.

Block diagram:

HARDWARE AND SOFTWARE SPECIFICATION:

Software Requirement:

1. Language - Java (JDK 1.7)

2. OS - Windows

3. Build Tool - Mobile

4.Netbeans ide 7.1.2

5.Android develop tool

Hardware Requirement:

1. 1 GB RAM

2. 80 GB Hard Disk

3. Intel Processor