Energy Efficiency in Software-Defined Wireless Network

The network devices need to be turned on around-the-clock in order to manage the traffic. The legacy wireless network’s networking gear integrated the devices that perform both data transmission and controlling tasks. The majority of network devices are generally optimal for the majority of the time, indicating needless energy use in communication networks. A novel network paradigm called software-defined wireless networks divides the data plane from the control plane, giving the network flexibility and virtualization. Software-defined networks offer programmable network devices and give administrators the ability to govern the devices via a centralized controller. SDN offers chances to improve the overall energy efficiency and performance of the network. In order to lower the energy consumption of wireless networks when they are idle, this research suggests a traffic-aware adaptive link rate technique. The basic concept is to put any switches, routers, and links that are not in operation into sleep mode at night when there is no traffic. To simulate a normal wireless network and open daylight as an SDN remote controller, we have utilized a Mininet-WiFi network emulator. The energy consumption of software-defined wireless networks and conventional wireless networks is compared in this research. The purpose of this comparison is to determine the energy efficiency of Software-Defined Wireless Networks (SDWNs) in comparison with conventional wireless networks. The outcome demonstrated that by using the suggested energy-saving strategy, we may reduce overall energy usage by up to 49%.