An Improved Algorithm for Congestion Management in Network Based on Jitter and Time to Live Mechanisms

Abstract

As internet network developed rapidly in the past ten years, and its operating environment is constantly changing along with the development of computer and communication technology, the congestion problem has become more and more serious. Since TCP is the primary protocol for transport layers on the internet, the data transmitted via the transport protocol utilizes Vegas Transmission Control Protocol (TCP) as the congestion control algorithm, where it uses increasing in delay round trip time (RTT) as a signal of network congestion. However, this congestion control algorithm will attempt to fill network buffer, which causes an increase in (RTT) determined by Vegas, thereby reducing the congestion window, and making the transmission slower, Therefore Vegas has not been widely adopted on the Internet. In this paper, an improved algorithm called TCP Vegas-A is proposed consist of two parts: the first part is sending the congestion window used by the algorithm for congestion avoidance along with the TTL (Time To Live) mechanism that limits the lifetime of a packet in the network. While the second part of the algorithm is the priority-based packet sending strategy, and jitter is used as a congestion signal indication. The combination of the two is expected to improve the efficiency of congestion detection. A mathematical model is established, and the analysis of the model shows that the algorithm has better effects on controlling congestion and improving the network throughput, decreasing packet loss rate and increasing network utilization, the simulation is done using NS-2 network simulation platform environment and the results support the theoretical analysis.

Urban Cultural Industry Management System and Public Economic Based on Improved Algorithm

“…The analysis of the model showed that the algorithm had a good effect in controlling congestion, improving network throughput, reducing packet loss rate, improving network utilization, etc., and was simulated in the NS-2 network simulation platform environment. The simulation results supported theoretical analysis [ 5 ]. Casado-Vara et al proposed a new technique for processing heterogeneous temperature data collected by the IoT of smart buildings and converting them into homogeneous data as input to smart building monitoring algorithms, optimizing their performance [ 6 ].…”

“…e simulation results supported theoretical analysis [5]. Casado-Vara et al proposed a new technique for processing heterogeneous temperature data collected by the IoTof smart buildings and converting them into homogeneous data as input to smart building monitoring algorithms, optimizing their performance [6].…”

Congestion Management in MPLS Network Based on Hybrid Particle Swarm Algorithm

“…When too many messages exist in the network, it will cause network performance degradation, that is, congestion occurs [1]. Congestion mainly occurs when network resources are insufficient to meet the needs of service flows, or when the distribution of network service flows is unbalanced, causing an increase in the packet loss rate of the link, increase in the delay between nodes, increase network jitter, and reduce network throughput [2], Therefore, the use of effective methods to achieve congestion control has become a hot issue in current network research. At present, many algorithms have been proposed, such as RED, REM [3], Drop Tail Queue Management, DRED [4], PI controller [5], PID controller [6], and so on.…”