Mobile streaming with the use of mobile devices nowadays is widespread and multimedia provides the best way to understand, learn new concepts and technologies in the time of their birth. Mobile learning will provide more realistic approach as it will keep everyone with just in term learning on the move. In general it's not possible for everyone to afford huge investments on hardware and software resources. This is the main reason for stepping over to the cloud where it provides centralized storage, memory, processing and bandwidth which maps the user end terminal via interactive mobile streaming services by adjusting the transmission frequency. This study outlines the state of art and major research challenges in architectures, protocols in streaming which contributes to good scalability with minor delay and soaring playback inconsistencies. Further, the DASRC algorithm considers the data download rate, as well as theenergy for decoding is calculated before the video data is transmitted. DASRC algorithm also evaluates the picture quality, available bandwidth and energy consumption for the user end terminal device. The feasibility of the proposed prototype is validated with architecture to yield high performance for network, device and energy aware QoS approach.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.