Wireless sensor networks, or WSNs, are now an important part of many things, from keeping an eye on the military to farming more accurately and protecting the environment. Sadly, the batteries in these sensor nodes don’t last very long. It is crucial to conserve power since it impacts the network’s performance and durability. Here are five well-known WSN clustering algorithms that will be examined. Some of them are Low-Energy Adaptive Clustering Hierarchy (LEACH), Distributed Energy-Efficient Clustering (DEEC), Threshold-sensitive Energy-Efficient Network (TEEN), Hybrid Energy-Efficiency Distributed Clustering (HEED), and Fuzzy Logic-Based Clustering. A framework for network simulations that was made to look like a typical WSN work environment was used for the simulations. TEEN was found to be the best algorithm in terms of how long the network lasts and how much power it consumes. Among the evaluated algorithms, TEEN achieved the highest network longevity, with the first node dying at round 1091 and all nodes at round 2502. Fuzzy Logic-Based Clustering also demonstrated strong performance, maintaining node functionality the longest, with all node deaths occurring at round 2533. In different situations, Fuzzy Logic-Based Clustering, TEEN, and LEACH be the best ways to make networks last longer.