QOS Aware TCP Congestion Control Variants for processing Multimedia Data in mobile adhoc Networks

Thesis (M.A.) from the year 2019 in the subject Engineering - Computer Engineering, , language: English, abstract: The digital era of communications shapes the globe from wired networks to wireless network, offline media to online media. The mobile adhoc network is one of the major categories of network where the users depends upon and accessing the services too. As the number of users increases in accessing the data in mobile adhoc networks, the major challenging issue is congestion. The type of data transmitting and receiving in mobile adhoc networks mainly deals with multimedia data i. e audio, video and animations. The bandwidth utilization is high in case of multimedia data in the mobile ad hoc network when compared to other data payloads. The network performance level can be optimized by reducing the congestion in mobile adhoc networks. It is highly difficult to provide best performance to meet the user expectations in mobile adhoc networks. As in mobile adhoc network, Congestion control at the transport layer is the greater role. Subsequently, the various compound designs are being used and system which has to adjusted as per the service providers. As Quality of Service is very much required by users in mobile adhoc networks and it's very much problematic to attain them by having a less number of resources. TCP is the standard protocol of transport layer which behaves in different flavors. Among such variants NewReno and HSTCP are the most commonly used. However the performance of TCP NewReno and HSTCP are very much sensitive to immediate changes in the traffic load. For achieving the QoS in mobile adhoc networks the problems related with congestion issues has to be addressed. The proposed work identifies certain number of issues during the improvement of QoS in mobile adhoc networks. Hence, the proposed algorithms MHSTCP and SwTCP are designed and developed. MHSTCP and SwTCP give attention towards few parameters such as Bandwidth utilization, Data rate, Delay, and energy. The proposed algorithms are simulated in Network Simulator-2 by varying impairments and results are verified. Based on the simulation results, the research outcome shows that the proposed algorithms outperform the existing TCP congestion control variants in enhancing the QoS parameters in Mobile adhoc networks.