A Comparative Technique to Extending the Life of Wireless Sensor Networks

Energy efficiency optimization while preserving dependable data transport is crucial in the world of Wireless Sensor Networks (WSNs). In order to thoroughly assess energy-efficient protocols, and data aggregation approaches, including node power control strategies, this research uses MATLAB-based simulations. In an effort to find a balance, the study examines the trade-offs between energy saving and data delivery dependability. Based on the findings, WSN lifespans can potentially be greatly extended by fine-tuning procedures, which is advantageous for applications like industrial automation and environmental monitoring. In order to further improve WSN sustainability, the study also identifies areas for further investigation, such as dynamic adaptability including the incorporation of renewable energy sources.