Volume 20 No 22 (2022)
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AN ENHANCED LOCALIZED ENERGY-EFFICIENT CLUSTERING METHOD APPLIED IN WSN
Abraham Amal Raj B ,Dr.Mahaveer Kumar Sain ,Dr.Dharmveer Yadav
Abstract
In the contemporary communication system, Wireless Sensor Networks (WSNs) play a significant role. They receive their energy from limited sources, such as batteries. They must therefore function within strict energy constraints. Sensing, computation, and communication are the main energy-guzzlers. Here, communication takes over a slot with a greater energy need. A large amount of energy can be saved by reducing the quantity of data that needs to be sent. The suggested article investigates the temporal and spatial correlation of data gathered by a WSN. The Cluster Heads (CH) are chosen using a passive clustering technique based on their weights in the Localized Energyefficient Clustering Approach (LECA) that we'll use. The data is delivered by a multi-hop to the gateway or sink node. The data is sent to the gateway or sink node over a multi-hop principle set that only contains Cluster Heads. The sensor nodes will only provide a portion of the sensed data to the cluster head using a dual prediction architecture. The cluster heads are then evenly distributed over the relevant area using LECA to maintain balanced coverage of the area. This approach extends the WSN's useful life while maintaining the highest level of data collection precision. When compared to other hierarchical clustering algorithms, the coverage enhancement is at its highest.
Keywords
wireless sensor network, cluster heads, distributed clustering, data reduction, energy efficiency.
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