Recent days, Energy consumption is becoming an issue in android devices. Android is an open code which is easily understandable and handle by the users to get and use new kind of properties and applications on their handsets. Many studies focused on energy lifetime prediction, but the models are not capable of light weight devices. This paper was designed to improve the quality of user experience (QoE) and energy efficiency of wireless broadcast receivers. The energy is saved in the user terminals using Time Slicing approach. Time Slicing allows discontinuous reception at the User Equipment’s (UEs), thereby facilitating the UE to turn-off the radio when not receiving data bursts and hence saving energy. Time slicing reduces the energy consumption and increase Quality of Experience (QoE). Joint optimization is achieved by grouping the users based on their device capabilities and estimated channel conditions experienced by them and adaptive content to these groups. This optimization is a game theoretic approach which performs energy saving versus reception quality trade-off, and obtains optimum video encoding rates of the different users. This consumption is a function of the proportion of users in a cell with different capabilities, which in turn determines the time slicing proportions for different video content layers for maximized energy saving of low-end users, while maximizing the quality of reception of the high-end users. The optimized layered coding rate is coupled with the receiver groups SNRs, an adaptation of the MCS for transmission of different layers; ensure higher numbers of users are served while also improving user’s average reception quality. Thorough testing has shown how the proposed consumption solution supports better performance for multimedia broadcast over wireless in comparison with the existing techniques. The peak energy drainer of mobile and tablet devices are the transmitter like Bluetooth or GPS and Wi-Fi radios. The service of android device includes display brightness, streaming video, signal weakness, playing games, background data, GPS & location services. The proposed system implements the service of streaming video, in which video coder and time slicing approaches are used for reducing the life of energy. The proposed has higher efficiency in improving the life of energy than the existing technique.