Selection and Ranking of Fog Computing‐Based IoT for Monitoring of Health Using the Analytic Network Approach

Abstract

Numerous raised areas are established in the field of fog computing (FC), applied for various purposes, and are evaluated for running analytics on various devices including devices of internet of things and many others in a disseminated way. FC progresses the prototype of cloud computing to network edge leading various possibilities and services. FC improves processing, decision, and intervention to take place through devices of IoT and communicate essential details. The idea of FC in healthcare based on frameworks of IoT is exploited by determining dispersed delegate layer of comprehension between the cloud and sensor hubs. The clouds suggested systems improved to overcome several challenges in ubiquitous frameworks of medical services such as energy efficiency, portability, adaptableness, and quality issues by accommodating right to take care of definite weights of the distant medical services group and sensor networks. The proposed research work has considered the analytic network process (ANP) for selection and ranking of FC-based IoT for health monitoring systems. The approach works in situation when complexity arises for health monitoring. Results of the study show the success of the research for facilitating healthcare.

Revolutionizing healthcare image analysis in pandemic-based fog-cloud computing architectures

“…This layer ensures data compatibility, reliability, and security through encryption and authentication. It also prioritizes scalability, reliability, adherence to healthcare regulations, and interoperability for efficient data sharing and collaboration [11], [12].…”

“…Recent research has focused on integrating fog computing into internet of health technology (IoHT) applications, yielding positive outcomes such as reduced service response time, improved system performance, and increased energy efficacy. For instance, Xue et al [11] developed the analytic network technique to identify and rank fog computing-based internet of things (IoT) solutions for health system supervising. Fog computing in health care includes establishing a distributed intermediate layer between the cloud and sensor hubs using IoT frameworks.…”