Energy Capable Clustering Approach to Enhance the Duration of Mobile Smart Dust Network

Smart dust nodes in Mobile Wireless Sensor Networks (MWSNs) are typically placed in isolated places for extended periods with little to no social interaction and restricted energy resources.As a result, energy consumption becomes a crucial problem for smart dust deployment and layouts.To reduce energy consumption, a novel Energy-Capable Clustering Approach for the Smart Dust EC2ASD environment is a revolutionary tactic that is presented in this research.It depends on a two-phase clustering representation and offers the most environment coverage while using the least amount of energy possible.For self-governing heterogeneous techniques of establishing the characteristics in compliance with the signalling sequences wherein roughly the same data rates are supplied for every smart dust, this methodology utilized an efficient aware resource scheduling strategy.This resource-competent clustering technique can create energy-stabilized clusters as well, extending the network's life span and enhancing environmental coverage.According to simulation studies, EC2ASD outperforms DBSCAN and FCEEC in terms of network lifetime while also obtaining greater network coverage.The suggested technique not only provides a novel and improved method for choosing Cluster Heads (CHs) to minimise energy utilisation of network participants, producing greater overall stability of smart dust networks, but also identifies an appropriate cluster size with minimal energy dissipation.