Localization in IoT networks is critical for effective communication, yet GPS-based methods are costly and energy-intensive. Existing techniques often suffer from high control overhead, poor location accuracy, and unreliable path formation in dynamic environments. There is a need for a lightweight, scalable, and stable alternative for efficient IoT node localization. This paper adopts an adaptive localization technique in hierarchical IoT network, namely LOC-IoT. The study takes into consideration the parameters like signal strength, stability metric, location update and bit error rate for the construction of stable paths. These metrics are utilized to find the location of IoT nodes at low cost without the utilization of a global positioning system. The LOC-IoT is simulated under the network simulator and compared with various other IoT localization techniques. The validation shows that if the radius of the IoT communication network is increased, the cluster size and number of member nodes inside the cluster increase, which helps in improving the steady state between the source and goal nodes with all the metrics used for location estimation.