A Software Defined Wireless Network based K-Way Spectral Clustering Algorithm (SDWN-KSCA)
In WSNs too much energy consumption is considered to be critical as it causes network failure, and hence energy
saving plays a major network performance metric which in case of absence, can lead to serious network problems resulting
in the form of sensors failure, connectivity loss, and disconnected network. This paper introduces the use of a software
defined network (SDN) controller in wireless sensor networks and shows how WSNs can benefit from the existence of SDN.
Simulation has been conducted for the deployment of SDN controller at the base station, shows approximately 20%
improvement in the overall network energy saving compared to the conventional energy saving approach based on network
spectral clustering. In addition, our approach shows 25% improvement in the network lifetime.
Index Terms - Software Defined Network (SDN) controller, Network performance metrics, Last node to die (LND), K-way
spectral clustering, Energy saving.