## 6 Conclusions  
The SVC is a suitable encoding technique to attain better QoE/QoS in wireless communication. The network topology is highly dynamic, and routing protocols have more overhead in the wireless network. In addition, most bandwidth is used for maintaining the topology knowledge. In this paper, we estimated the adaptation parameters considering mobility, bandwidth availability, and motion levels of video sequences for deciding the adaptation parameter. The experimental method uses different scalable video levels and network conditions to stream the video over the wireless network. Here, High-definition video sequences are considered for estimating the adaptation parameters. The knowledge built in this work help in the continuous streaming of video over a CAN-enabled Wireless network. Hence, the adaptation is on-the-fly, considering dynamic network conditions and resource availability. In the future, the knowledge built will be used for developing a dynamic video adaptation method. We plan to use machine learning-based approaches to develop dynamic adaptation techniques. In addition, we will simulate various network scenarios and estimate more adaptation parameters to use in dynamic adaptation algorithms. Conceptualization, R.M. ; formal analysis, G.B., V.M. ; project administration, R.M. ; software  
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