A METHOD OF IMPROVING RESILIENCE IN EMBEDDED IOT NETWORKS BY FAULT FORECASTING

摘要

#$%^&*AU2020101901A420200924.pdf#####A METHOD OF IMPROVING RESILIENCE IN EMBEDDED IOT NETWORKS BY FAULT FORECASTING ABSTRACT Everything that is around us today is automized with the internet of things. The automization requires resilience in embedded internet of things network, which in turn require a fault forecasting to sustain the quality of service. The status of the service is recorded in the cloud through the gateway, and the user can monitor the automization service. This invention provides a method of improving resilience in an embedded IoT where sensors and the cameras are deployed to get the information either the statistical or the image data. The data are computed by resilience embedded internet of things with highend computing resources. The extracted data are deployed by fault forecast to eliminate a problem before it happens and also respond to it after it happened. The status of the service is also recorded in the cloud through the gateway, and the user can monitor the automization service. This improved method of resilience embedded IoT networks by fault forecast provide quality of service such that it guarantees the service to the user.A METHOD OF IMPROVING RESILIENCE IN EMBEDDED IOT NETWORKS BY FAULT FORECASTING Drawings 0 o H HIGH END COMPUTER CLOUD DISPLAY RESILIENCE EMBEDDED IOT FAULTFORECASTING Fig. 1 Process flow diagram BACKUPANT)DIMENSION TIMELY RESPONSE PLANNING PROACTIVE APPROACH HETEROGENEITY FAULT-HYPOTHESIS Fig 2(a) Fault forecast - Proactive approach 1 P a g e