Abstract
Internet of Things (IoT) has provided a new horizon to explore numerous application deployment in the pervasive domain. However, due to power, delay and centralized issues of existing IoT-cloud scenario, novel interventions are getting outperformed in many ways. Edge computing has come up with new aspect to mainly minimize the packet transmission delay between the end user device to the remote cloud. Thus, a new way of delay mitigation has been possible. In this study, we conglomerate both the IoT and edge computing to facilitate a proof-of-concept application to application toward serving an e-healthcare scenario. We deploy our application on top of the newly released IoTSim-Edge simulator to diminish the dependency over the physical use of IoT device, sensor and actuators and increase the time to marketize the prototype. In this study, we propose a novel architecture that deals with the e-healthcare application development by using pulse rate monitoring sensor. We also develop activity diagram, class relationship diagram, and configure the engine of the system. We investigate the application against the shrinking factor of the IoT edge, mean execution time, and overall energy consumption by the novel IoT-edgelet modules.
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Ray, P.P., Dash, D. & De, D. Intelligent Internet of Things Enabled Edge System for Smart Healthcare. Natl. Acad. Sci. Lett. 44, 325–330 (2021). https://doi.org/10.1007/s40009-020-01003-0
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DOI: https://doi.org/10.1007/s40009-020-01003-0