Efficient Resource Allocation Using Data Offloading Mechanism in Distributed SDN

Abstract

Due to unexpected growth of mobile user and growth of different devices in cellular heterogeneous network, traffic density increases exponentially. The available spectrum bandwidth is also less compared to current requirement of network. Efficient controlling technique is required to effectively allocate all these devices by available spectrum without degradation of quality of services (QoS). Software-defined networking (SDN) has centralized control plane, so that it is more efficient to manage network devices compared to current network. But for single controller it is difficult to control large number of devices within time delay over which the QoS of network is not degraded. Here, distributed architecture of SDN is analyzed and compared with single centralized controller. Partial data offloading algorithm is also performed to control congestion of heterogeneous network. Results show that probability of miss threshold reduces and maximum amount of data that could be offloaded to Wi-Fi access points (APs) increases as the traffic density increases by using partial data offloading algorithm. Using distributed architectures, time delay of controller processing is reduced and number of request to controller also reduces. Here, partial data offloading algorithm is simultaneously performed with distributed architecture of SDN controller to efficient resource allocation in heterogeneous with high QoS.