Internet of Things Based Monitoring and AI Based Testing Approach for Sensor Activity Testing of Embedded Systems
Swapnili P. Karmore · Helix · 2018
The Internet of Things has been applied in many of the industries.Huge and large industries demand human less monitoring systems.Embedded system testing process proved as most critical and complex process in industries.In Embedded system testing, continues monitoring and testing of input, outputs and sensory activity is an essential requirement, each device is such typically equipped with a number of sensors, hence the multiple electronic control units are connected in order to provide control of the system.Normal Software testing is not suitable for embedded systems.Software as well as Hardware testing is required in case of embedded system, Testing of Embedded systems demonstrated through several simulation experiments.In this article, we propose small case studies for designing and development of testing framework via AI and IOT based approach, through extensive experiments testing of custom build an embedded system exhibits the variety of results proving its designing accuracy.The analysis is performed when data is generated synthetically as well as by actual developed embedded system.It also achieves increased efficiency, demonstrating the classification of valid and invalid data.