Abstract
Background & Objective: Wireless sensor networks are made up of a huge amount of less powered small sensor nodes that can audit the surroundings, collect meaningful data, and send it to the base station. Various energy management plans that pursue to lengthen the endurance of overall network have been proposed over the years, but energy conservation remains the major challenge as the sensor nodes have finite battery and low computational capabilities. Cluster based routing is the most fitting system to help in burden adjusting, adaptation to internal failure, and solid correspondence to draw out execution parameters of wireless sensor network. Low energy adaptive clustering hierarchy is an efficient clustering based hierarchical protocol that is used to enhance the lifetime of sensor nodes in wireless sensor network. It has some basic flaws that need to be overwhelmed in order to reduce the energy utilization and inflating the nodes lifetime.
Methods: In this paper, an effective auxiliary cluster head selection is used to propose a new enhanced GC-LEACH algorithm in order to minimize the energy utilization and prolong the lifespan of wireless sensor network.
Results & Conclusion: Simulation is performed in NS-2 and the outcomes show that the GCLEACH outperforms conventional LEACH and its existing versions in the context of frequent cluster head rotation in various rounds, number of data packets collected at base station, as well as reduces the energy consumption 14% - 19% and prolongs the system lifetime 8% - 15%.
Keywords: CH, energy model, energy consumption, LEACH, network lifetime, residual energy, routing protocol, WSN.
Graphical Abstract
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