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Transforming a traditional microgrid to a smart microgrid involves deploying a cost-effective and suitable communication system. Realistic data traffic estimates need to be computed at the design level for the optimum choice of wireless technologies to satisfy the communication demands, which is strategically an arduous problem. The present study involves the development of a data-driven decision-making strategy based on performance evaluation of various wireless network technology options to optimally select the technology for an associative smart microgrid application. A cost function integrating various smart microgrid applications and different wireless communication technologies is developed as the objective function. Major Performance Metric-based weights, such as data rate and delay, are incorporated into the cost function to enhance the performance of the developed strategy. The potential and …