Energy-Conserving Data Aggregation In WSN Using Migration Aware Compaction And Dynamic Clustering

K. Rubini

Abstract


Wireless Sensor Networks is essential for enabling energy-efficient information transfer from several sensors to the washbasin. The Energy Conserving Data aggregation technique throughMigration aware Compaction and Dynamic Clustering (MCDC), which combines a novelclustering mechanism with a data migration protocol, which included into a new WSNtopology presented in this study. In order to extend the lifespan of the network by implementinga novel clustering mechanism robust to network dynamics, in which picking a CH depends onresidual energy and a limited communication distance, the topology's main objectives are toinitially pick an unpredictable arrangement of head clusters for each data transmission round.Second, to raise the ratio of packets delivered through employing a data encoding technique;and thirdly, to address the connection problem, which affects network longevity by leadingsensor nodes adjacent to the base station to support heavier relay demands. Migration modelsoffer a simple solution to this problem; in particular, the connection issue is mitigated by usinga Random Positioning of Grid Mobility model. According to the simulation results, the networklayout that uses the suggested MCDC algorithm efficiently increases PDR, optimises averageenergy usage, and lengthens network lifespan. The suggested technique shows improvementsin PDR and energy efficiency with gains better results respectively, when compared to theEnergy-Efficient Multiple Data Fusion.Keywords: Multipath routing, Transform, cluster head selection

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