Abstract
Multimedia services will play a prominent role in the next generation of internet. With increasing real time requirements, internet technology has to provide Quality of Service (QoS) for various kinds of real time streaming services. When the bandwidth required exceeds the available network resources, network paths can get congested, which results in a delay in packet delivery and packet loss. This situation leads to the design of new strategies for congestion avoidance and control. One of the popular and appropriate congestion control mechanisms that is useful in transmitting multimedia applications in the transport layer is TCP Friendly Rate Control Protocol (TFRC). However, TFRC still suffers from packet loss and delay due to long distance heavy traffic and network fluctuations. This paper introduces a number of key concerns like enhanced Round Trip Time (RTT) and Retransmission Time Out (RTO) calculations, Enhanced Average Loss Interval (ALI) methods and improved Time to Live (TTL) features are applied to TFRC to enhance the performance of TFRC over wired networks.
Highlights
A computer network is a collection of computers that are interconnected together for the purpose of resource sharing
Because of the explosive growth of the internet, congestion avoidance and control play an important role in transport layer functionality [1]
Future Internet 2017, 9, 74 various strategies like Tuning Round Trip Time (RTT) and Retransmission Time Out (RTO) dynamically by calculating them using a better approach, introducing mean and confidence interval into average loss interval method and modification to Time to Live (TTL) computation method to reduce packet dropping using RSA to prevent TTL modification to improve the performance of Transmission Control Protocol (TCP) Friendly Rate Control Protocol (TFRC) in terms of throughput, delay and packet loss
Summary
A computer network is a collection of computers that are interconnected together for the purpose of resource sharing. In view of the above condition, TFRC works as follows. TpRosFsCibpleersfeorrvmicaenfcoer isstrheaigmhilnygaaffpepctleicdatbioyntshwrohuigchpisutsuapnpdoprtainckgeitt lboesst dinuethteo iunntefraniretReTnTviarnondmReTnOt. cTaRlcFuClaptieornfos.rmFaunrcteheisr hTiFgRhCly raefqfeucitreeds baysothprhoiustgichaptuedt amndecphacnkisemt lofsosr dcualecutolautinfgaiarcRcuTrTataenpdoRckTeOt lcoaslscurlaattei.onTso. aFcuhritehveer QTFuRaClityreoqfuSireersvaicseofpohritsrtaicnastfeedrrminegchoannliinsme mfourltciamlceudliaatisntgreacmcuinrgateapppolcickaettiolonsss, mraoter.eTsoopahchisiteivceatQeduamlietychoafnSisemrvsicaerefonr eteradnesdfefrorrinTgFRonCl.inTehmis uelnticmouedraiagesstrtehaemriensgeaarpcphleircsattioonpsr,ompoosree sophisticated mechanisms are needed for TFRC. CTaRlcFuClaptieornfos.rmFaunrcteheisr hTiFgRhCly raefqfeucitreeds baysothprhoiustgichaptuedt amndecphacnkisemt lofsosr dcualecutolautinfgaiarcRcuTrTataenpdoRckTeOt lcoaslscurlaattei.onTso. aFcuhritehveer QTFuRaClityreoqfuSireersvaicseofpohritsrtaicnastfeedrrminegchoannliinsme mfourltciamlceudliaatisntgreacmcuinrgateapppolcickaettiolonsss, mraoter.eTsoopahchisiteivceatQeduamlietychoafnSisemrvsicaerefonr eteradnesdfefrorrinTgFRonCl.inTehmis uelnticmouedraiagesstrtehaemriensgeaarpcphleircsattioonpsr,ompoosree sophisticated mechanisms are needed for TFRC This encourages the researchers to propose various. Future Internet 2017, 9, 74 various strategies like Tuning RTT and RTO dynamically by calculating them using a better approach, introducing mean and confidence interval into average loss interval method and modification to TTL computation method to reduce packet dropping using RSA to prevent TTL modification to improve the performance of TFRC in terms of throughput, delay and packet loss.
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