An efficient traffic regulation mechanism for distributed networks

Abstract

The increasing customer base has been posing a challenging situation for the existing Internet architecture that cannot be used for efficiently handling the massively growing demands with respect to optimal channel capacity and traffic congestion controls. The paper has reviewed all the major significant congestion control techniques on various types of network and found that there are only few studies focusing on controlling traffic congestion on distributed networks. Therefore, this paper introduces a technique to control packet level congestion in distributed network by adopting a novel metric termed as stochastic rate control. The paper showcases an algorithm for implementing traffic rate control to ensure the balanced rate of data flow in highly distributed network. The outcome of the study has been assessed using throughput, channel capacity, and delay to find that the proposed system outperforms the existing system of congestion control.

Congestion Control using Cross layer and Stochastic Approach in Distributed Networks

“…In addition to regular quality parameters our research addresses the issues related to air medium e.g interference and different levels of noise over wireless channel for modeling the traffic. This paper is a continuation of our work where we have offered a packet level congestion by introducing a parameter i.e., Rate Control Metric (RCM) [24] . This metric is designed to offer an efficient control over the highly distributed network.…”

“…The algorithm looks for all the source nodes s (S is total source nodes) and attempts to control the flow of packets. It then checks all the respective destination nodes and uses rate control metric (RCM) [24] to further enhance the provisioning for the data transmission. Finally, with the help of cross layer provisioning algorithm the date is transmitted towards the destination d.…”

“…Finally, the data transmission is improved by applying rate control metric [24] which assigns an appropriate rate at the transport layer for effective end to end communication. Hence, the algorithm completely supports the cross-layer paradigm for future internet architecture to ensure interoperability among heterogeneous networks and achieve efficient data transmission.…”

“…There is also a possibility that the capacity of the route may vary over a period of time that will lead to a significant stochastic problem. In order to solve this issue, we have implemented Rate Control Metric (RCM) [24] that can extract the exact information about the traffic rate thereby giving more information about the capacity of the routes. In order to solve the problems related to computational complexity, we also initialize a hypothetical matrix that stores and extracts the best provisioned values, which acts as alternative for the congestion states of traffic.…”