Energy efficient topology management scheme based on clustering technique for software defined wireless sensor network

Load balancing and energy conservation techniques are one of the significant constraints in the design of in software defined wireless sensor network (SD-WSN). Usually, clustering method helps the network in the minimum utilization of energy that results in enhancing network lifetime. Moreover, various nodes in the multi-hop network that are near to the base station drain their battery very quickly thus lead to creating hot spot problem in a network. To overcome such constraints, this paper proposes a multilayer clustering architecture for selection of forwarding node, rotation of cluster head, and inter and intra-cluster routing communication. The proposed scheme efficiently tackle the rotation of forwarder node by incorporating routing table (table list) at each node. Moreover, the rotation is performed by the consideration of two threshold levels of the residual energy of a node. Also, the exploitation of decision maker node, forwarder node, backup forwarder node, and non-forwarder node enhancing the routing strategy in a network. The performance of the proposed scheme is tested and evaluated by C programming language. The results show that the proposed scheme successful achieve better results than TLPER and EADUC in energy consumption per node, end-to-end communication, hop count in cluster formation.