International Research Journal of Engineering and Technology (IRJET) Volume: 04 Issue: 03 | Mar -2017
www.irjet.net
e-ISSN: 2395 -0056 p-ISSN: 2395-0072
OPTIMAL RATE ALLOCATION AND LOST PACKET RETRANSMISSION IN VIDEO STREAMING P.Manothini1, E.Prateep2, S.Ramya3, S.Shwetha4. 1Assistant
Professor, Department of Electronics and Communication Engineering, Jansons Institute Of Technology, Coimbatore. 234 Students, Department of Electronics and Communication Engineering, Jansons Institute of Technology, Karumathampatti, Coimbatore.
Abstract:We consider the problem of optimal rate allocation and admission control for adaptive video streaming sessions in wireless networks with user dynamics. The major aim is to achieve an optimal tradeoff between several key objectives: maximizing the average rate utility per user, minimizing the temporal rate variability, retransmission of lost packets and maximizing the number of users supported. We identify the structure of algorithms that achieve asymptotically optimal performance in largecapacity systems, and exploit the insight into this structure to devise parsimonious and robust online algorithms. Extensive simulation experiments demonstrate that the proposed online algorithms perform well, even in systems with relatively small capacity. KEYWORDS Network simulator2, VMware, fedora, Linux, Video streaming ,QoS, VoD, Rate Adaption 1.INTRODUCTION Video traffic is experiencing tremendous growth, fueled by the proliferation of online video content and the steady expansion in transmission bandwidths. The amount of video traffic is forecast to double annually in the next several years, and is expected to account for the dominant share of wire line as well as wireless Internet traffic soon[1].The available hardware and technology for consumers and service providers today allow for advanced multimedia services over IP-based networks. Hence, the popularity of video and audio streaming services such as Video-on-Demand (VoD), advanced on-line gaming, and video chatting and conferences are increasing.[8] The demand for resource efficiency and robustness in the network follows. The current commercially available data transfer technology for streaming media does not adjust well to the best effort heterogeneous Internet architecture, and QoS demands are impossible to guarantee.[3] A central Š 2017, IRJET
|
Impact Factor value: 5.181
|
problem with this development is that the Internet itself is extremely dynamic and unpredictable, while the real-time services we want to lay on top of it demand stable conditions for constant and uninterrupted throughput.[7] It is not only the demand for QoS that increases. As CPU and memory get physically smaller and more efficient, the number of applications that can be run on small devices increases as well. With this new flora of handheld computers, PDAs and cell phones, the wish for terminal mobility and easy wireless access to the same advanced services follows.[2] Now, while the Internet itself has unpredictable throughput, the wireless access networks add even more uncertainty to the QoS-possibilities. Most Internet based VoD services today rely on pre-compressed media, allowing consumers to choose between two or three different qualities to fit the given end to end connection (figure 1).[9] For video conferencing and live streaming, the media is compressed on the fly, but the compression rate is normally controlled by an offline codec. This means that the video codec has no direct contact with the network and transport layer, where the actual transmission status is found. Thus, these approaches do not fully utilize the available resources at any given time and they might not provide the chosen quality during the entire session because of sudden changes in the network load somewhere along the path[6]. With an online codec solution, the communicating parties of a multimedia transfer could adopt to the network state at any given time in the session. This is extra desirable for a mobile terminal which has a constantly changing radio coverage, or for a system that supports sessionmobility, allowing the user to change terminal equipment without interrupting or restarting an ongoing session. Figure the concept behind a solution based on continuous network feedback upstream from the client to the media server[4].
ISO 9001:2008 Certified Journal
|
Page 2881