Recent Study on Energy Efficient Cluster Based Algorithms for Wireless Sensor Network
Basavaraj GN1*, Karthik SA1 and Prasad AY2
11Department of ISE, BMS Institute of Technology and Management, Bengaluru, India
2Department of CS&E, SJB Institute of Technology, Bengaluru, India
*Corresponding Author: Basavaraj GN, Department of ISE, BMS Institute of
Technology and Management, Bengaluru, India.
Received:
January 22, 2023; Published: February 08, 2023
Abstract
Wireless Sensor Networks (WSNs) are made up of micro-sensor nodes with limited energy with processing capability in a constrained environment. WSN monitors physical and environmental conditions of many applications (e.g., health, military, home). Dense numbers of sensors are deployed to operate autonomously in different conditions of the environment. The main problem of WSN is maintaining network lifetime for a long time using low battery Sensor Nodes (SNs). Sensor nodes are frequently organized into distinct, non- overlapping groups termed clusters to provide high scalability with improved data aggregation. The pathways for data transfer in Wireless Sensor Networks (WSNs) are chosen in such a way that the total energy consumption is reduced to optimize network lifespan. We review advancements in clustering, classification of clustering properties and prominent cluster-based algorithms.
Keywords: LEACH; Clustering; Cluster Head; CH Selection; Wireless Sensor Network; Energy Efficient; Network Lifetime
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