Power efficient module in single chip for the energy optimized dynamic IoT communication

The design of a power-efficient Internet of Things (IoT) dynamic communication system is the most required task for digital applications. However, allocating the optimal power based on the user requests is not an easy task. So, the current research article has planned to design a novel Firefly-based Power Estimation and Allocation (FbPEA) strategy for the communication microarchitecture. Here, the presented model is processed on the power chip of the microarchitecture module. Consequently, the data has been transmitted, and parameters were estimated in the LabView environment. Moreover, designing the microarchitecture of the LabView platform is new in the IoT communication fields. Compared to other tools, LabView has better power optimization and execution time results. Hence, using the LabView tool for the microarchitecture design has reduced the computation cost and complexity score of the designed FbPEA dynamic communication microarchitecture. The designed microarchitecture's efficiency has been verified with some critical parameters like power usage, execution time, and energy consumption.