International Journal of Advanced Engineering Research and Science (IJAERS) [Vol-4, Issue-1, Jan- 2016] https://dx.doi.org/10.22161/ijaers/4.1.3 ISSN: 2349-6495(P) | 2456-1908(O) www.ijaers.com Page | 12 Exploring Energy Consumption Issues for video Streaming in Mobile Devices: a Review Aarti Deshpande Research Scholar, School of Computer Science and Engineering, VIT University, Chennai TN Abstract—The proliferation of high-end mobile devices, such as smart phones, tablets, together have gained the popularity of multimedia streaming among the user. It is found from various studies and survey that at end of 2020 mobile devices will increase drastically and Mobile video streaming will also grow rapidly than overall average mobile traffic. The streaming application in Smartphone heavily depends on the wireless network activities substantially amount of data transfer server to the client. Because of very high energy requirement of data transmitted in wireless interface for video streaming application considered as most energy consuming application. Therefore to optimize the battery usage of mobile device during video streaming it is essential to understand the various video streaming techniques and there energy consumption issues in different environment. In this paper we explore energy consumption in mobile device while experiencing video streaming and examine the solution that has been discussed in various research to improve the energy consumption during video streaming in mobile devices . We classify the investigation on a different layer of internet protocol stack they utilize and also compare them and provide proof of fact that already exist in modern Smartphone as energy saving mechanism. Keywords— power consumption, video streaming, internet protocol stack . I. INTRODUCTION Now a days video content is gradually more consumed by mobile devices [1]. As it shown in below fig. 1 by the end of 2020, the number of such mobile devices will exceed tremendously and Mobile video usage will grow at a CAGR of 62 percent between 2015 and 2020, higher than the overall average mobile traffic CAGR of 53 percent” [1]. Figure 1 shows a growth rate of video usage.At the same time, it is very important to fulfill user expectation in term of playback quality and battery usage in mobile device while streaming the video. Fig.1 In mobile video streaming, it is essential that user can experience the best quality with optimized energy consumption. There are so many challenges for video streaming services while transmitting the video content to the streaming client for smooth playbacks like clients with the different type of connectivity, initial playback delay, and the bandwidth variation between a server and a client [2]. While playing multimedia streaming content, energy consumption of smartphones is also considered as an important issue and consequently, a significant number of research work focused on reducing the energy consumption of the mobile device. The major consumption of energy in any mobile devices is due to both display on and decoding the multimedia. Energy consumption due to decode audio or video depends on the computational complexity of algorithm used by the codec and/or compression technique used for encoding. There is various technique used by streaming services while sending video content to mobile devices, such as rate throttling, buffer adaptive streaming, rate adaptive streaming over HTTP encoding rate streaming, and fast caching. In Encoding rate streaming scheme the content is sent at encoding rate. While in Throttling and fast caching delivering of video content has a higher rate than the encoding rate. Playback buffer status of the client has used in Buffer adaptive mechanisms. In this, the client receives content from the server only when playback buffer exhausted to a specific limit. Initially, whole content has been downloaded in Fast caching technique. while Rate adaptive mechanisms adjust with video quality as per the end-to-end bandwidth between a server and the client. In some research, it analyzes the merits of these streaming techniques from the server performance point of view. For example, it is observed that fast caching minimize start-up