Research Article
Pawan Panditrao Jagdale · Sarang Dagajirao Patil
Journal
International Journal of Digital Applications and Contemporary Research (IJDACR)
ISSN
2319-4863
Volume / Issue
Vol.10 · Issue 7
Published
February 2022
Access
Open Access
Licence
CC BY-NC-SA 4.0
Sensor nodes in a heterogeneous Wireless Sensor Network (WSN) have different capabilities, such as computational power and sensing range. When compared to homogeneous WSN, heterogeneous WSN layout and topology control are more confusing. Distinctive energy-efficient clustering methods for wireless sensor networks systems are considered, with clustering method, location awareness, heterogeneity level, and clustering features all being considered. However, each protocol is incompatible with heterogeneous WSNs. In this research, we put the Low-Energy Adaptive Clustering Hierarchy (LEACH) and the Genetic Algorithm (GA) optimized-LEACH to the test in a few different scenarios where high level heterogeneity is held to a minimum. To bring the conduct of these disparate protocols to a stop.
Pawan Panditrao Jagdale, Sarang Dagajirao Patil (2022). Energy Efficient Clustering Algorithm in Wireless Sensor Networks using Genetic Algorithm. International Journal of Digital Applications and Contemporary Research (IJDACR), Vol.10, Issue 7. ISSN: 2319-4863.
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