Abstract recent advances in micro processing, wireless and battery technology, and smart sensors have enhanced data processing, wireless communication, and detection capability. in sensor networks, each sensor node has limited wireless computational power to process and transfer the live data to the base station or data collection center. therefore, to increase the sensor area and the transmission area, the wireless sensor network usually contains many sensor nodes. generally, each sensor node has a low level of battery power that cannot be replenished. when the energy of a sensor node is exhausted, wireless sensor network leaks will appear, and the failed nodes will not pass data to the other nodes during transmission processing. thus, the other sensor nodes will be burdened with increased transmission processing. this work proposes a fault node recovery (fnr) algorithm to enhance the lifetime of a wireless sensor network (wsn) when some of the sensor nodes shut down, either because they no longer have battery energy or they have reached their operational threshold. using the fnr algorithm can result in fewer replacements of sensor nodes and more reused routing paths. thus, the algorithm not only enhances the wsn lifetime but also reduces the cost of replacing the sensor nodes. the algorithm can result in fewer replacements of sensor nodes and more reused routing paths.