CONGESTION CONTROL AND EVENT BASED DATA ANALYSIS IN SDN USING D-ITG FOR SMART HEALTH CARE SYSTEM

Abstract

BACKGROUND: With the vast heterogenic traffic and distributed control of the forwarding devices of the conventional network, it is difficult to efficiently cope with the management of the network. It is a distributed view of control that causes progressive paradigm shift of network management. Thus, there is a centralized developed paradigm called SDN. SDN is essentially decoupling Control and management plane with the data plane. s. These aircrafts interface with each other through typical interfaces principally southbound and northbound.

OBJECTIVE: With health monitoring distributed applications there are sort of critical or emergency and normal patient data packets transmission. The proposed research study is the synthesis of both WBAN and SDN in practice whereby the classification is done by performing granular monitoring of each data packet level.

METHODOLOGY: The sources of the production packets that carry health information and deliver the inputs at controller are sensor to make alternation of flow rule entries installation instantaneously whenever failure or link congestion effects occur so that emergency event occurrence is provided at health server.

RESULT and CONCLUSION: Performance measurements in experimental evaluation are controller overhead in configuration in terms of normal and critical traffic, end to end delay and control transmission overhead. The interim of all the performance parameters indicated that our simulation was good.