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.
Highlights
Fog computing is a structure positioned anywhere between the cloud and the data source where information is computed and stored and the applications are placed to operate the requirements for some specific purpose
Abundant platforms are recognized in the field of fog computing (FC) which are applied for various purposes and are assessed for successive analytics on different devices comprising IoT devices and several others in a disseminated means
FC is an architecture situated anywhere amongst the cloud and data source where information is computed and stored and the applications are placed to operate the requirements for some specific purpose
Summary
Fog computing is a structure positioned anywhere between the cloud and the data source where information is computed and stored and the applications are placed to operate the requirements for some specific purpose. E fitness trackers, wireless technology, and body sensors have significant effect on health system reliability and living efficiency. Complexity efficient wearable sensor networks have been considered for monitoring health through IoT. E wearable devices and its applications demonstrate how the resources of computing cost can reduce while maintaining health requests to access information of health stored in cloud and fog distributed setting. Outside the environment of hospital, wireless body sensor nodes are used to monitor patient based on realtime IoT. E research work presented in this paper has considered and used the analytic network process approach for selection and ranking of FC based IoT for monitoring of health.
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