The increase in devices leads to more processing and storage in the cloud. IoT devices failed to get the cloud on time because of overloading of the cloud. The cloud architecture is centralized, getting the processing and storing of the data for real time application results into latency. In this paper a selection module is designed which focus on three key parameters: distance, energy, and resource allocation. Distance impacts latency and network efficiency, requiring optimal placement of fog nodes to minimize communication delays. Energy consumption is a critical factor, as fog devices operate with limited power, necessitating efficient task offloading and scheduling strategies. Effective resource allocation ensures balanced workload distribution, preventing node overloading which improves overall system performance. By analyzing these parameters, an optimized framework called selection module is introduced which enhances service quality while reducing computational costs. The Selection module helps the fog nodes and device nodes match once they meet all the three parameters mentioned above.