Features virtualization software telecommunications networks by means of simulation Riverbed Modeler

Rozorinov, Heorhii; Trapezon, Kirill; Vlasjuk, Anna; Chichikalo, Nina; Fendri, Aymen; Pilkevich, Yuliya

doi:10.1109/aiact.2017.8020111

Cited by 4 publications

(1 citation statement)

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“…This software can be used for different tasks, including model creation, testing communication protocols, interaction protocol analysis, network optimization and also it is possible to implement using packet validation of analytical models. This means that the user can create separate models of network nodes and packet formats to define their own components and sequence statistics simulations and their own characteristic servers [22].…”

Section: Test Benchmentioning

confidence: 99%

Cost-Effective eHealth System Based on a Multi-Sensor System-on-Chip Platform and Data Fusion in Cloud for Sport Activity Monitoring

et al. 2018

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eHealth systems provide medical support to users and contribute to the development of mobile and quality health care. They also provide results on the prevention and follow-up of diseases by monitoring health-status indicators and methodical data gathering in patients. Telematic management of health services by means of the Internet of Things provides immediate support and it is cheaper than conventional physical presence methods. Currently, wireless communications and sensor networks allow a person or group to be monitored remotely. The aim of this paper is to develop and assess a system for monitoring physiological parameters to be applied in different scenarios, such as health or sports. This system is based on a distributed architecture, where physiological data of a person are collected by several sensors; next, a Raspberry Pi joins the information and makes a standardization process; then, these data are sent to the Cloud to be processed. Our Cloud system stores the received data and makes a data fusion process in order to indicate the athlete’s fatigue status at every moment. This system has been tested in collaboration with a small group of voluntary tri-athletes. A network simulation has been performed to plan a monitoring network for a bigger group of athletes. Finally, we have found that this system is useful for medium-term monitoring of the sports activities.

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Section: Test Benchmentioning

confidence: 99%