Wireless Sensor Network Clustering Simulation with Energy Consumption Analysis

Wireless sensor network clustering simulation represents a crucial research domain that addresses energy consumption issues and node death state analysis. In this field, researchers develop innovative algorithms and methodologies to enhance network performance and reliability. Through clustering simulation, we can model node behaviors in wireless sensor networks and analyze their energy consumption patterns. This typically involves implementing key functions such as cluster head selection algorithms (e.g., LEACH protocol variants), energy-aware routing mechanisms, and lifetime prediction models. The simulation enables comprehensive analysis of node death states, providing valuable insights for network optimization. By incorporating energy threshold detection and residual energy calculations in the code implementation, researchers can better understand network dynamics and propose effective energy conservation strategies. Thus, clustering simulation holds significant importance in WSN research and offers substantial opportunities for in-depth investigation and exploration.