QoS-Enhancement Adaptive OpenFlow Rule Integration in Software Defined WSN for IoT Applications

OpenFlow rule aggregation method in software-defined wireless sensor networks (SDWSN) is addressed to represent the flow-table overflow problem in the switches of SDN controller deployed in IoT applications. By having minimum effect on the QoS of IoT traffic, a key based mechanism is followed to minimize the count of flow rules. From numerous candidate paths, based on the utilization and IoT application a QoS path was selected by taking the flow-table capability at the SDN switches. A Perfect-fit heuristic method was examined which consider the IoT traffic congestion during flow rule insertions, besides with the flow-table at the switches on network path, by minimizing the cumulative count of flow-rule in SDWSN. Simulation results of the proposed scheme shows, it reduces time delay in an average and packets drop by 35% and 12% correspondingly. Existing schemes are compared, and the network throughput rises by 20% and a remarkable improvement in the rebate of flow rules in SDN switches associated with IoT applications.