Abstract
Following the Internet of Things (IoT) and the Internet of Space (IoS), we are now approaching IoP (Internet of People), or the Internet of Individuals, with the integration of chips inside people that link to other chips and the Internet. Low latency is required in order to achieve great service quality in these ambient assisted living facilities. Failures, on the other hand, are not tolerated, and assessing the performance of such systems in a real-world setting is difficult. Analytical models may be used to examine these types of systems even in the early phases of design. The performance of aged care monitoring systems is evaluated using an M/M/c/K queuing network. The model enables resource capacity, communication, and service delays to be calibrated. The proposed model was shown to be capable of predicting the system’s MRT (mean response time) and calculating the quantity of resources required to satisfy certain user requirements. To analyze data from IoT solutions, the examined architecture incorporates cloud and fog resources. Different circumstances were analyzed as case studies, with four main characteristics taken into consideration. These case studies look into how cloud and fog resources differ. Simulations were also run to test various routing algorithms with the goal of improving performance metrics. As a result, our study can assist in the development of more sophisticated health monitoring systems without incurring additional costs.
Highlights
The Internet of Things (IoT) is one of the most powerful communication technologies of the 21st century
Looking at the metrics closely, the MRT of the cloud is higher than in the fog, and the distance between the results with 10 and 15 nodes is higher in the fog scenario
Scenarios A and B have shown the metrics as isolated resources, it was interesting to see the comparison with the hybrid possibility in the same graphs
Summary
The Internet of Things (IoT) is one of the most powerful communication technologies of the 21st century. In the IoT environment, most electronic devices in our everyday life will be part of the internet due to their communication and computing skills. IoT represents the important step for theInternet as it evolves from a substrate of communication that connects computers to one that connects and embraces objects of everyday life (things). In this context, there is another important concept, the Internet of People (IoP). Exchange, and manage data on behalf of their users and must behave the way their human users would if they interacted in the physical world [1,2,3]
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