Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
This paper deals with study of video streaming from a source to multiple
receivers in wireless networks. This video is streaming with the help of
intermediate users who forward the video to others. Two main challenges affect
user satisfaction in the wireless network. The users usually have (i) different
willingness to contribute (forwarding the video) (ii) different preference
regarding the video quality. To overcome the challenges, we propose a framework
based on a taxation mechanism in which the forwarding users, depending on their
energy, are paid by their corresponding receivers. The video is layered such
that the more video layers are received, the quality-of-experience (QoE) and
the higher the price. Using a decentralized s coding scheme we define a user-specific
utility function whose maximization determines the number of video layers a
user wishes to receive. The utility function captures the users preferences
including the importance of the video quality to her and her willingness to
contribute. Our model supports the multicast transmission by which the receiver
can use a common forwarder and share the cost. Simulation results show that the
proposed model not only provides a higher QoE for the users and it is compared
to the preference-agnostic models but also improves the network social-welfare.
Country : India