Internet of Things a new technology that can be expressed as a smart, interoperable node associated to a global network infrastructure. IoT also aims to establish the interoperability concept of anything from everywhere at any time. IoT which has recently experienced rapid development and can provide a variety of services is now the fastestgrowing technology and has a significant impact on both social life and commercial environments. Devices are often maintained by a cloud, and their number is constantly increasing. The IoT and cloud-connected gadgets are getting increasingly sophisticated and diversified. Furthermore, these devices are dispersed across wide geographic areas and create enormous volumes of data. Furthermore, the IoT frequently need a diverse set of service providers. It's possible that end consumers may need applications that are location-aware. Although the more centralized services offered by cloud, inclusive services, due to geography it can be difficult for cloud systems to maintain position with mobile and scattered devices. To address these difficulties, introduce a platform that enables the deployment of cloud like functions close to the devices that need to be maintained or observed. This is referred to as Fog computing. In addition to providing networking, storage, and computing capabilities, it links end-user devices to cloud providers. Fog enables minimum latency, location / context awareness, and low bandwidth and storage services. Data is managed locally to speed up response times. A cloud-based analysis platform can be used to send compiled data. The Fog can also provide services such as security, filtration, and so on. By combining the link state method with Dijkstra, the suggested Fog framework consistently meets an accurate locationawareness. Additionally, a comparison study of network utilization and latency is provided. The comparative findings show that, in contrast to cutting-edge frameworks, the LAFF decreases latency and network utilization. Therefore, the suggested LAFF enhances QoS while utilizing remote computational servers for the Fog computing applications that are outsourced.