A Robust Task Organizing Approach on IoT Enabled Mobile Computing Paradigm Based on Multilayer Management Model

Abstract

With the proliferation of mobile and IoT sensors being utilized in so many different contexts, our mobile cloud computing equipment will soon be overwhelmed by the sheer volume of our viewers. Because of this, it's clear that a transition to fog processing is required. One of the most challenging tasks is arranging tasks, which ranks right up there with the trust computation done inside the trustworthy nodes. The tasks that need a significant amount of resources are transferred to mobile cloud computing via mobile devices and Internet of Things devices. When compared to conventional cloud computing, cloud computing and mobile cloud computing require far greater resources. Because of the untrustworthy nodes, valuable amounts of time, energy, and resources are being squandered. A multilayer trust enhancement strategy is proposed in this research study as a method for effectively scheduling tasks in mobile cloud settings. First, we determine the reliable responsibilities that need to be transferred to the mobile cloud computing. Following the completion of the trust computation, an effective and dynamic task scheduler is implemented in order to improve the work scheduling. The trust computation methods used were social and environmental.