The usage of mobile cloud computing (MCC), which allows mobile users to access the benefits of cloud computing in a manner that is favourable to the environment, is an efficient strategy for addressing the present demands of the industrial sector. MCC is one of the acronyms for "mobile computing in the cloud." As a result of limitations imposed by wireless bandwidth and device capability, the installation of MCC has been met with a range of obstacles. These difficulties consist of, among other things, an increase in the amount of energy that is wasted and a delay in latency. To solve this issue, we have presented a dynamic cloudlet-based mobile cloud computing model (DECM), which makes use of dynamic cloudlets (DCL) to manage the additional energy that is necessary for wireless connections. As part of this investigation, we test our model by simulating an event that may take place in the actual world, and we also give data that can be relied upon for the evaluations. This research contributes significantly in two distinct ways. To begin, this study is the very first analysis of the most effective strategies for resolving concerns about energy loss within the framework of dynamic networking. It was carried out by a group of researchers from the United States and Canada. Second, the proposed model provides a path and theoretical foundations for more research to be conducted in the future.
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