Energy Aware Dynamic Routing Using SDN for a Campus Network

Increase in traffic over internet by large number of mobile devices results into high energy consumption on network devices. In this paper, we address the necessity to reduce the energy consumption in a campus network that includes both wired and wireless network devices. Specifically, we propose dynamic link rate adaptation mechanism on Software Defined Network (SDN) switches and control power consumption on Access Points (APs) by using users association to an AP. Moreover, our online flow routing approach dynamically routes user traffic in order to decrease the overall energy consumption of whole network while taking in consideration Quality of Service (QoS), acceptance ratio on forwarding table and link BandWidth (BW) constraints. Our simulation result shows that our approach results in 3.69% less power consumption, and furthermore, there is no congested links nor overflow in flow table as compared to Dijkstra Ant colony Power (DAPower) that has 2 congested links for 150 users in a network, each generating 34 flows.