Pal, A.K.Mittal, Abhinav2023-01-312023-01-312022-07https://krishikosh.egranth.ac.in/handle/1/5810192952With the rise of smart wireless devices equipped with multi-radio interfaces, there has been increased demand for real-time video traffic. Real-time transport of live video or stored video is the predominant part of real-time multimedia. Video streaming is the main approach for delivery of stored video over wireless networks where the streaming video is partitioned into packets and played out simultaneously during video delivery. Multiple simultaneous associations with heterogenous networks can be allowed by multihoming support. In this study, we propose models based on adaptive probabilistic flow splitting multipath transmission scheme to dynamically assign the video traffic flow to different networks in response to the channel capacities available on the different networks. The essential characteristics of video traffic are taken into account, such as deterministic burst intervals, highly dynamic burst length, and batch arrivals of transmission packets. The PGF of packet delay and arbitrary moments are evaluated by probability generating function and z-transform method. QoS of video transmission delivery is analyzed on the basis of delay metrics such as average packet delay, delay jitter and delay outage probability. The numerical and simulations results demonstrate the effectiveness of our analysis framework and the performance gain of multipath transmission. Also, we have developed a queueing models for wireless communication using Aloha and OFDMA-Aloha. In this model, we have derived an adaptive algorithm for Aloha and OFDMAAloha. The performance of developed model has been evaluated in terms of mean access delay and mean packet delay of the two MAC Protocols. The present study may be helpful in applied scientific fields like performance enhancement of video streaming, multipath transmission, flow splitting and OFDMA-Aloha.EnglishThesis