A Design Space Exploration Framework for Context-Adaptive Wearable IOT Edge Devices

Abstract

Given the complexity and scale of upcoming Internet of Things (IoT) applications, it is necessary to examine design-related spaces effectively. There are few methods for working together to examine networks and systems, and the usual network and system design ignores the interactions between the other. Context-adaptive pattern recognition algorithms are applied for wearables IoT edge devices in such simulation-based design space exploration procedure to extract activities using streams sensor information. A Design Space Exploration Framework for Context-Adaptive Wearable IoT Edge Devices is presented in this approach. In order to locate implementations that are both energy- and execution-efficient, the framework makes use of design space exploration techniques. The findings demonstrated that, when it comes to performance and energy efficiency, maximizing resource utilization isn't always the most effective procedure.  Precision and recall parameters are taken into consideration. The DSE method can also be used in a number of sensor-based applications to find suited wearable IOT system designs.