Network Performance Optimization in Wireless Sensor Networks Using Clustering Methods
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Keywords: Wireless Sensor Network, Clustering, Energy Efficiency, Network Lifetime, Network OptimizationAbstract
Wireless Sensor Network (WSN) is a wireless network technology that is widely used in various monitoring applications due to its flexibility and ability to collect environmental data. However, resource limitations, particularly sensor node energy, are a major challenge that directly impacts network performance and lifespan. Various approaches have been developed to address this issue, one of which is the clustering method that aims to optimize data communication management. This study aims to analyze and optimize WSN network performance through the application of clustering methods with a focus on energy efficiency, network lifetime, and data transmission performance. This study uses a quantitative approach through WSN network simulation. The evaluation was carried out by applying the clustering method to several simulation scenarios, then analyzed based on the parameters of average node energy, network lifetime, number of packets received by the base station, and packet delivery success rate. The simulation results show that the clustering method is able to reduce the rate of node energy consumption more evenly, extend the network lifetime to hundreds of simulation rounds, and increase the number of data packets successfully received by the base station. The clustering scenario with an energy-based cluster head selection mechanism showed the best performance compared to other scenarios. This study proves that the clustering method is effective in improving WSN performance, particularly in terms of energy efficiency and network resilience. However, the decline in performance in the final phase of the simulation indicates the need to develop a clustering method that is more adaptive to energy dynamics and network topology. Further research is recommended to integrate adaptive approaches or artificial intelligence to improve network performance sustainability.
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