ENERGY EFFICIENT CLUSTER-HEAD SELECTION BASED RESIDUAL ENERGY FOR WIRELESS SENSOR NETWORK

Abstract

Wireless sensor networks (WSN) groups specialized transducers that give seeing services to Internet of Effects (IoT) bias with limited energy and storehouse offers Since relief or recharging of batteries in detector bumps is nearly insolvable, power consumption becomes one of the pivotal design issues in WSN. Clustering algorithm plays an important part in power conservation for the energy constrained network. Choosing a cluster head can meetly balance the cargo in the network thereby reducing energy consumption and enhancing continuance. Improved leach algorithm is used as the proposed algorithm to provide the best accuracy and involve high iteration. The algorithm evaluate initial energy, residual energy and an optimum value of cluster heads to select the next group of cluster heads for the network that suits for IoT implementation such as environmental protection, smart cities, and systems. LEACH algorithm improves the lifetime of the network in comparison to direct or multi-hop transmission but still has many obstacles. The choice of cluster heads is done randomly which does not ensure proper allocation and optimal solution.