Mobility Swapping Optimization with Location-Aware Fog Positioning Algorithm (LAFPA)

Developing technologies such as the Internet of Things (IoT) is part of the elegant health care world that needs cognizant of latency computation for requests processing in authentic time. IoT system data created are typically handled via a cloud infrastructure due to on-call applications and the ability to scale the computing in the cloud model. However, processing IoT applications on a cloud-only basis is not an efficient suggestion for certain IoT applications, specifically health care appliances. Fog computing exists amid cloud and IoT appliances to fix this trouble. These fog systems are close to the users and are capable of data computing, flexible communication, and local storage rather than cloud storage. Fog provides faster response and higher quality services. Fog handling can therefore be deemed the ablest option to enable elegant health care IoT to enhance efficient and safe services to many IoT smart health care users. Mobility one of the crucial arguments in running IoT elegant health care applications in the fog computing world. Several studies have recently emerged to address device mobility in diversity from cutting-edge research areas, including fog computing and cloudlets. This paper proposes a comprehensive assessment from the literature on fog computing technologies in the arena of IoT healthcare techniques and mobility crucial argues. Besides a Location-Aware Fog Positioning Algorithm (LAFPA) that maintains the connection between the mobile end-user and the ideal fog node. It provides latency by 40% to 50% below the other algorithms of distribution suggested fog nodes, faster application response resources, and enhances system performance in real-time.